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abides

ABIDES: Agent-Based Interactive Discrete Event Simulation

alphazerofromscratch

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

cnnf

codealpaca

colossalai

Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training

cuda-revised-simplex

An implementation of the revised simplex algorithm in CUDA for solving linear optimization problems in the form max{c*x | A*x=b, l<=x<=u}

cudf

cuDF - GPU DataFrame Library

cuosqp

Python interface for CUDA implementation of OSQP

dask-cudf

Dask support for distributed GDF object

datasets

source{d} datasets ("big code") for source code analysis and machine learning on source code

deep-hedging

Deep Hedging Demo - An Example of Using Machine Learning for Derivative Pricing.

docker-openvpn

🔒 OpenVPN server in a Docker container complete with an EasyRSA PKI CA

docker-openwrt

docker-openwrt-1

OpenWrt running in Docker

dotbot

A tool that bootstraps your dotfiles ⚡️

dreambooth-stable-diffusion

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

extension-examples

JupyterLab Extensions by Examples

fastchat

The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"

fastertransformer

Transformer related optimization, including BERT, GPT

finrl-library

A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. Please star. 🔥

fwdgrad

Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch

g711

Dead simple G.711 tool with Python bindings

galai

Model API for GALACTICA

github-release-notes

Node module to create a release or a changelog from a tag and uses issues or commits to creating the release notes.

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

gpt-prompt-engineer

gptq

Code for the paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers"

gquant

A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.

jupyterlab

JupyterLab computational environment.