philtrade

Ddip

Fastai + PyTorch DDP in Jupyter Notebook

mpify

A simple API to launch Python functions to run on multiple ranked processes, mpify is designed to enable interactive multiprocessing experiments in Jupyter/IPython, such as distributed data parallel training over multiple GPUs.

tensorflow-learn

ML/AI experiments using tensorflow

cudf

cuDF - GPU DataFrame Library

fastai

The fastai deep learning library, plus lessons and tutorials

fastai2

Temporary home for fastai v2 while it's being developed

fastbook

Draft of the fastai book

fastcore

Core functionality of fastai

gpu_selection

Parallel selection on GPUs

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.

gtc2018-numba

Numba tutorial for GTC 2018

ib_insync

Python sync/async framework for Interactive Brokers API

M5-methods

Data, Benchmarks, and methods submitted to the M5 forecasting competition

mantisshrimp

Object detection framework focused on application

nbdev

Create delightful python projects using Jupyter Notebooks

notebooks-contrib

RAPIDS Community Notebooks

philtrade.github.io

photography

A zero dollar solution to host your photo/video gallery online using Github pages and Travis CI. No coding necessary.

ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

spectre

GPU-accelerated Factors analysis library and Backtester

uvloop

Ultra fast asyncio event loop.

zipline

Zipline, a Pythonic Algorithmic Trading Library