daahuang

coding-interview-university

A complete computer science study plan to become a software engineer.

ParlAI

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

DrQA

Reading Wikipedia to Answer Open-Domain Questions

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

qstrader

QuantStart.com - QSTrader backtesting simulation engine.

sru

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

gae

Implementation of Graph Auto-Encoders in TensorFlow

IbPy

Python API for the Interactive Brokers on-line trading system.

CommAI-env

A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130

EAGLE

EAGLE: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders

pytorch-i-revnet

i-RevNet Pytorch Code

certigrad

Bug-free machine learning on stochastic computation graphs

interactive-broker-python-api

A python packaged used to interact with the Interactive Brokers REST API.

pddlstream

PDDLStream: Integrating Symbolic Planners and Blackbox Samplers

probmods2

probmods 2: electric boogaloo

VidChapters

[NeurIPS 2023 D&B] VidChapters-7M: Video Chapters at Scale

DDPAE-video-prediction

Learning to Decompose and Disentangle Representations for Video Prediction, NIPS 2018

ntp

End-to-End Differentiable Proving

residual-policy-learning

Residual policy learning

shapestacks

Tensorflow models and simulation code for 'ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking'

structural-sparsity

Structure learning for sparse graphs with latent variables

cog

Code for the COG dataset and network

echomesh

An array of noisy, reactive little computers.

Kitchen2D

Learning for task and motion planning in a 2D kitchen.

RelNN

RelNN is a novel first-order deep neural model for relational learning.

LogicalVision2

Symbolic computer vision tool

policies_logic_programs

Few-shot Bayesian Imitation Learning with Policies as Logic over Programs

CLAM-SPOPT