mglowacki100

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

qlib

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

data-science-interviews

Data science interview questions and answers

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

pandera

A light-weight, flexible, and expressive statistical data testing library

ml-surveys

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

eiten

Statistical and Algorithmic Investing Strategies for Everyone

Auto-PyTorch

Automatic architecture search and hyperparameter optimization for PyTorch

pytorchTutorial

PyTorch Tutorials from my YouTube channel

fastquant

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

aiosql

Simple SQL in Python

fancyimpute

Multivariate imputation and matrix completion algorithms implemented in Python

AutoDL

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

clifford

Geometric Algebra for Python

N-BEATS

N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.

genrl

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

wtfml

WTFML: Well That's Fantastic Machine Learning

pandas-log

The goal of pandas-log is to provide feedback about basic pandas operations. It provides simple wrapper functions for the most common functions that add additional logs

autoclint

A specially designed light version of Fast AutoAugment

coax

This project was moved to: https://github.com/coax-dev/coax

pandas-ml-quant

Master repository for the pandas-ml modules

esrnn_torch

fastinference

A collection of inference modules for fastai2

wildebeest

File processing pipelines

array-api-comparison

Data and tooling to compare the API surfaces of various array libraries.

pyducers

transducer library for python, inspired by clojure

PowerSet

Getting-Things-Done-with-Pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases.