Stars
📚 Freely available programming books
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
TensorFlow code and pre-trained models for BERT
An open-source NLP research library, built on PyTorch.
Low-code framework for building custom LLMs, neural networks, and other AI models
Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data
Members of the United States Congress, 1789-Present, in YAML/JSON/CSV, as well as committees, presidents, and vice presidents.
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automate…
PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure
[Unmaintained] The Python implementation of k-medoids.
Simple & Easy-to-use python modules to perform Quick Exploratory Data Analysis for any structured dataset!
An extended package for clustering similarity
A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big …
Dataset of state legislative elections from 1971–2018.
simple customizable scoring systems in python
R package for missing-data imputation with deep learning
Software for preprocessing textual data in multiple languages for textual analysis.
Production code the Fast Implementation of the Gaussian Puff Forward Atmospheric Model
Production code for Sensor Placement Optimization