This repo contains lecture notes and other course materials for "Programming for Data Science"

A collection of machine learning examples and tutorials.

Python Backtesting library for trading strategies

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

Official Stanford NLP Python Library for Many Human Languages

The fastai deep learning library, plus lessons and and tutorials

A library for encrypted, privacy preserving machine learning

Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

Python for Finance – Second Edition, published by Packt

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more

Open source driver for accessing raw data from the Emotiv EPOC EEG headset

World Quant University Capstone Project - Swing Trading

PyTorch implementations of Generative Adversarial Networks.