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2048-game

action_conditional_pred

adaptive-quantization-modules

Code for "Online Learned Continual Compression with Adaptive Quantization Modules"

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

alma

Anytime Learning At Macroscale

aml

anml

A Neuromodulated Meta-Learning algorithm

aux-vae

aux_vae

Auxiliary Guided Variational Auto Encoders

balanced-kmeans

basic_reinforcement_learning

An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

began

biological_learning

Example of "biological" learning for MNIST

cartpole_pg

OpenAi gym's cartpole environment solved with policy gradient

cite

Implementation for our paper "Conditional Image-Text Embedding Networks"

continuum

A clean and simple data loading library for Continual Learning

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

distributional_rl

drcn

DCRN paper implementation

driving_simulator

Creating a realistic driving simulator using GANs and LSTMs

e2c

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fm-gan

Tensorflow implementation for paper "Adversarial Text Generation via Feature-Mover’s Distance"

gansfallingshort

Code for "Language GANs Falling Short"

gmvae

Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering

gran

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

headshots-starter

higher

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

iaf-vae

Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"