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Implementation of Decision Stacks: Flexible RL via Modular Generative Models
Source code for ClimateLearn
Official Implementation of LARGE: Latent-Based Regression through GAN Semantics
Bypass Paywalls web browser extension for Chrome and Firefox.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
The main repository for the Kannada MNIST dataset
Fair Generative Modeling via Weak Supervision
High-fidelity performance metrics for generative models in PyTorch
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting
Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"
Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.
VIP cheatsheets for Stanford's CS 229 Machine Learning
The fundamental package for scientific computing with Python.
Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"
Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018
Reinforcement learning environments with musculoskeletal models
MADE (Masked Autoencoder Density Estimation) implementation in PyTorch
Code for "Best arm identification in multi-armed bandits with delayed feedback", AISTATS 2018.
Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.
A MNIST-like fashion product database. Benchmark 👇
This repository contains all source files corresponding to a novel MDP Planner - which combines abstractions/symmteries and UCT