machine-learning

Basic Utilities for PyTorch Natural Language Processing (NLP)

Curated list: Resources for machine learning in Ruby

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Python implementation of TextRank algorithms ("textgraphs") for phrase extraction

UnrealCV: Connecting Computer Vision to Unreal Engine

A high-level machine learning and deep learning library for the PHP language.

Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

Official repository of the xLSTM.

The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.

Reformer, the efficient Transformer, in Pytorch

TFX is an end-to-end platform for deploying production ML pipelines

EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

Fast State-of-the-Art Static Embeddings

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

An open-source Python framework for hybrid quantum-classical machine learning.

The Operator Splitting QP Solver

A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

Awesome machine learning for combinatorial optimization papers.

JAX - A curated list of resources https://github.com/google/jax