Starred repositories
The hub for EleutherAI's work on interpretability and learning dynamics
Open Implementations of LLM Analyses
A Python package to assess and improve fairness of machine learning models.
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
State-of-the-Art Text Embeddings
Scalable and user friendly neural 🧠 forecasting algorithms.
just a bunch of useful embeddings for scikit-learn pipelines
Model interpretability and understanding for PyTorch
A command-line productivity tool powered by AI large language models like GPT-5, will help you accomplish your tasks faster and more efficiently.
A computer algebra system written in pure Python
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Find and copy needed dynamic libraries into python wheels
A small framework to benchmark forecasting models via backtesting
A python library for user-friendly forecasting and anomaly detection on time series.
The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
A unified, comprehensive and efficient recommendation library
Compare tables within or across databases
🏋️ Streamlit app doing analysis on DEXA scan results
Open Source Feature Flags, Experimentation, and Product Analytics
🦀 Small exercises to get you used to reading and writing Rust code!
🎡 Build Python wheels for all the platforms with minimal configuration.
NeuralProphet: A simple forecasting package
🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.
Fast Python Collaborative Filtering for Implicit Feedback Datasets
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …