RA Keerthan's repositories
Residual-Channel-Attention-Network
Unofficial Tensorflow implementation of "Image Super-Resolution Using Very Deep Residual Channel Attention Networks", ECCV 2018
Virtual_Volume_Estimation
Final year project which deals with object volume estimation from a single 2D image.
Deep_Image_Hashing
Quick query search through image hash of grocery products.
Hashtag_Popularity_Prediction
Predicting the popularity of an hashtag using standard regression techniques such as Linear Regression, Random Forest and Non-Linear SVM.
NYSE_Prediction
A time series modelling of New York Stock Exchange Data using PyTorch
Precrash-Detection
Precrash detection using object detection, depth estimation and other computer vision techniques.
RDN-Tensorflow
Unofficial Tensorflow implementation of "Residual Dense Network for Image Super-Resolution", CVPR 2018 (spotlight)
3d-point-clouds-autocomplete
An experimentation of "HyperPocket: Generative Point Cloud Completion" paper in PyTorch
3DShapeGen
Code for 3D Reconstruction of Novel Object Shapes from Single Images paper
DeepGamingAI_FIFA
A deep learning based AI bot for playing the football simulation game FIFA 18 (Windows platform)
DomainBed
DomainBed is a suite to test domain generalization algorithms
Keras-Gates-vs-Bezos-Image-Classifier
Hours of step by step training using keras to do image classification using convnets from scratch, transfer learning and fine tuning. We also review visual similarity strategies and handle 2 use cases: Jeff Bezos vs Bill Gates, then Border Collie vs Yellow Lab. Not an academic treatise, just hands on fun and really good explanations about how to get productive real fast!
machine-learning-curriculum
:computer: Make machines learn so that you don't have to program them; The ultimate list
models
Models and examples built with TensorFlow
MUSE
A library for Multilingual Unsupervised or Supervised word Embeddings
opencv
Open Source Computer Vision Library
PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
SimCLR
A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
tensorflow
Computation using data flow graphs for scalable machine learning
tf-estimator-tutorials
This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way