Homanga Bharadhwaj's Projects
Attentive collaborative filtering: Multimedia recommendation with item-and component-level attention
Code and hyperparameters for the paper "Generative Adversarial Networks"
Search arxiv for papers with certain keywords in the Abstract
Efficient Batched Reinforcement Learning in TensorFlow
A python tutorial for a Bayesian treatment of Linear Regression: https://zjost.github.io/bayesian-linear-regression/
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
Implementation of C-RNN-GAN.
Convolutional Neural Network that clones human driving behavior in a simulator
A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).
Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)
Code examples in pyTorch and Tensorflow for CS230
A Stemmer based on GRAS for the Bengali Language
Parallel sum reduction, parallel addition of a scalar across an array, and GPU hardware query
code for CoRL 2020 paper "Contrastive Variational Model-Based Reinforcement Learning for Complex Observations"
An implementation of CycleGan using TensorFlow
Dagger - An implementation of Dataset Aggregation
A list of recent papers regarding deep reinforcement learning
Uses Recurrent Neural Network (LSTM/GRU/basic_RNN units) for summarization of amazon reviews
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Dream to Control: Learning Behaviors by Latent Imagination
Tensorflow implementation of Energy Based Generative Adversarial Networks (EBGAN)
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Google AI Research