Updated README files of research models

research/adv_imagenet_models/README.md

@@ -1,3 +1,7 @@
+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # Adversarially trained ImageNet models
 
 Pre-trained ImageNet models from the following papers:

research/adversarial_crypto/README.md

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+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # Learning to Protect Communications with Adversarial Neural Cryptography
 
 This is a slightly-updated model used for the paper

research/adversarial_logit_pairing/README.md

@@ -1,3 +1,6 @@
+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
 
 # Adversarial logit pairing
 

research/adversarial_text/README.md

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+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # Adversarial Text Classification
 
 Code for [*Adversarial Training Methods for Semi-Supervised Text Classification*](https://arxiv.org/abs/1605.07725) and [*Semi-Supervised Sequence Learning*](https://arxiv.org/abs/1511.01432).

research/audioset/README.md

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+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # Models for AudioSet: A Large Scale Dataset of Audio Events
 
 This repository provides models and supporting code associated with

research/autoencoder/README.md

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+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)

research/cognitive_mapping_and_planning/README.md

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+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # Cognitive Mapping and Planning for Visual Navigation
 **Saurabh Gupta, James Davidson, Sergey Levine, Rahul Sukthankar, Jitendra Malik**
 

research/deep_speech/README.md

@@ -1,4 +1,9 @@
+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # DeepSpeech2 Model
+
 ## Overview
 This is an implementation of the [DeepSpeech2](https://arxiv.org/pdf/1512.02595.pdf) model. Current implementation is based on the code from the authors' [DeepSpeech code](https://github.com/PaddlePaddle/DeepSpeech) and the implementation in the [MLPerf Repo](https://github.com/mlperf/reference/tree/master/speech_recognition).
 

research/delf/README.md

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+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # DELF: DEep Local Features
 
 This project presents code for extracting DELF features, which were introduced

research/domain_adaptation/README.md

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+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 ## Introduction
 This is the code used for two domain adaptation papers.
 

research/efficient-hrl/README.md

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+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 Code for performing Hierarchical RL based on the following publications:
 
 "Data-Efficient Hierarchical Reinforcement Learning" by

research/fivo/README.md

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+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # Filtering Variational Objectives
 
 This folder contains a TensorFlow implementation of the algorithms from
@@ -208,4 +212,4 @@ This codebase comes with a number of tests to verify correctness, runnable via `
 
 ### Contact
 
-This codebase is maintained by Dieterich Lawson, reachable via email at [email protected]. For questions and issues please open an issue on the tensorflow/models issues tracker and assign it to @dieterichlawson.
+This codebase is maintained by Dieterich Lawson. For questions and issues please open an issue on the tensorflow/models issues tracker and assign it to @dieterichlawson.

research/global_objectives/README.md

@@ -1,3 +1,7 @@
+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # Global Objectives
 The Global Objectives library provides TensorFlow loss functions that optimize
 directly for a variety of objectives including AUC, recall at precision, and

research/im2txt/README.md

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+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # Show and Tell: A Neural Image Caption Generator
 
 A TensorFlow implementation of the image-to-text model described in the paper:

research/inception/README.md

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+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 **NOTE: For the most part, you will find a newer version of this code at [models/research/slim](https://github.com/tensorflow/models/tree/master/research/slim).** In particular:
 
 *   `inception_train.py` and `imagenet_train.py` should no longer be used. The slim editions for running on multiple GPUs are the current best examples.

research/learned_optimizer/README.md

@@ -1,3 +1,7 @@
+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # Learned Optimizer
 
 Code for [Learned Optimizers that Scale and Generalize](https://arxiv.org/abs/1703.04813).

research/learning_to_remember_rare_events/README.md

@@ -1,3 +1,9 @@
+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
+---
+
 Code for the Memory Module as described
 in "Learning to Remember Rare Events" by
 Lukasz Kaiser, Ofir Nachum, Aurko Roy, and Samy Bengio

research/lexnet_nc/README.md

@@ -1,3 +1,7 @@
+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # LexNET for Noun Compound Relation Classification
 
 This is a [Tensorflow](http://www.tensorflow.org/) implementation of the LexNET

research/lm_1b/README.md

@@ -1,3 +1,7 @@
+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 <font size=4><b>Language Model on One Billion Word Benchmark</b></font>
 
 <b>Authors:</b>

research/lm_commonsense/README.md

@@ -1,3 +1,7 @@
+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # A Simple Method for Commonsense Reasoning
 
 This repository contains code to reproduce results from [*A Simple Method for Commonsense Reasoning*](https://arxiv.org/abs/1806.02847).

research/marco/README.md

@@ -1,3 +1,6 @@
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 Automating the Evaluation of Crystallization Experiments
 ========================================================
 

research/maskgan/README.md

@@ -1,3 +1,7 @@
+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # MaskGAN: Better Text Generation via Filling in the ______
 
 Code for [*MaskGAN: Better Text Generation via Filling in the

research/namignizer/README.md

@@ -1,3 +1,7 @@
+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # Namignizer
 
 Use a variation of the [PTB](https://www.tensorflow.org/versions/r0.8/tutorials/recurrent/index.html#recurrent-neural-networks) model to recognize and generate names using the [Kaggle Baby Name Database](https://www.kaggle.com/kaggle/us-baby-names).

research/neural_gpu/README.md

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+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # NeuralGPU
 Code for the Neural GPU model described in http://arxiv.org/abs/1511.08228.
 The extended version was described in https://arxiv.org/abs/1610.08613.

research/neural_programmer/README.md

@@ -1,3 +1,7 @@
+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # Neural Programmer
 
 Implementation of the Neural Programmer model described in [paper](https://openreview.net/pdf?id=ry2YOrcge)

research/next_frame_prediction/README.md

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+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 <font size=4><b>Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks.</b></font>
 
 <b>Introduction</b>

research/object_detection/README.md

@@ -1,3 +1,5 @@
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
 
 # Tensorflow Object Detection API
 Creating accurate machine learning models capable of localizing and identifying

research/pcl_rl/README.md

@@ -1,3 +1,6 @@
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 Code for several RL algorithms used in the following papers:
 * "Improving Policy Gradient by Exploring Under-appreciated Rewards" by
 Ofir Nachum, Mohammad Norouzi, and Dale Schuurmans.

research/qa_kg/README.md

@@ -1,3 +1,7 @@
+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # Module networks for question answering on knowledge graph
 
 This code repository contains a TensorFlow model for question answering on

research/real_nvp/README.md

@@ -1,3 +1,7 @@
+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # Real NVP in TensorFlow
 
 *A Tensorflow implementation of the training procedure of*

research/sentiment_analysis/README.md

@@ -1,3 +1,7 @@
+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # Sentiment Analysis
 ## Overview
 This is an implementation of the Sentiment Analysis model as described in the [this paper](https://arxiv.org/abs/1412.1058). The implementation is with the reference to [paddle version](https://github.com/mlperf/reference/tree/master/sentiment_analysis/paddle).

research/seq2species/README.md

@@ -1,3 +1,7 @@
+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # Seq2Species: Neural Network Models for Species Classification
 
 *A deep learning solution for read-level taxonomic classification with 16s.*

research/skip_thoughts/README.md

@@ -1,3 +1,7 @@
+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # Skip-Thought Vectors
 
 This is a TensorFlow implementation of the model described in:

research/steve/README.md

@@ -1,3 +1,7 @@
+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # Stochastic Ensemble Value Expansion
 
 *A hybrid model-based/model-free reinforcement learning algorithm for sample-efficient continuous control.*
@@ -87,4 +91,4 @@ toy examples in the first segment of the paper.
 config file and a GPU, it takes the filename of the model to load as a mandatory third argument.
 
 ## Contact
-Please contact GitHub user buckman-google ([email protected]) with any questions.
+Please contact GitHub user buckman-google ([email protected]) with any questions.

research/struct2depth/README.md

@@ -1,3 +1,7 @@
+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # struct2depth
 
 This a method for unsupervised learning of depth and egomotion from monocular video, achieving new state-of-the-art results on both tasks by explicitly modeling 3D object motion, performing on-line refinement and improving quality for moving objects by novel loss formulations. It will appear in the following paper: 

research/swivel/README.md

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+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # Swivel in Tensorflow
 
 This is a [TensorFlow](http://www.tensorflow.org/) implementation of the

research/textsum/README.md

@@ -1,3 +1,7 @@
+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 Sequence-to-Sequence with Attention Model for Text Summarization.
 
 Authors:

research/transformer/README.md

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+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # Spatial Transformer Network
 
 The Spatial Transformer Network [1] allows the spatial manipulation of data within the network.

research/vid2depth/README.md

@@ -1,3 +1,6 @@
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # vid2depth
 
 **Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints**

research/video_prediction/README.md

@@ -1,3 +1,7 @@
+![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
+![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
+![TensorFlow 2 Not Supported](https://img.shields.io/badge/TensorFlow%202%20Not%20Supported-%E2%9C%95-red.svg)
+
 # Video Prediction with Neural Advection
 
 *A TensorFlow implementation of the models described in [Unsupervised Learning for Physical Interaction through Video Prediction (Finn et al., 2016)](https://arxiv.org/abs/1605.07157).*