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ai-toolbox

A C++ framework for MDPs and POMDPs with Python bindings

asne

Tensorflow implementation of Attributed Social Network Embedding framework (ASNE)

autoencoder

Text autoencoder with LSTMs

autoencsets

baby-ai-game

Prototype of a game where a reinforcement learning agent is trained through natural language instructions

babyai

BabyAI platform. A testbed for training agents to understand and execute language commands.

bdpi

Sample-Efficient Reinforcement Learning with Bootstrapped Dual Policy Iteration

bert_document_classification

architectures and pre-trained models for long document classification.

bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

bine

BiNE: Bipartite Network Embedding

bittrade

Project Site

blokus

Play blokus with computer

c4cs.github.io

Course Homepage for Computing for Computer Scientists

cite

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

comfyui

The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.

contextualbandits

Python implementations of contextual bandits algorithms

contiguous-succotash

Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch

corescope

CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and Algorithms (ICDM'16 & KAIS'18)

covid-qa

A collection of COVID-19 question-answer pairs and transformer baselines for evaluating QA models (Official Repository)

covidfaq

dart

deep-subspace-clustering-networks

deep_exchangeable_tensors

deep_parsimonious

Learning Deep Parsimonious Representations

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

deeprl-tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

demosite

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dp_means

Dirichlet Process K-means

driving_simulation