machine-learning

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.

Implement a reasoning LLM in PyTorch from scratch, step by step

Ecommerce Search and Discovery - marqo.ai

Install, run and deploy your own decentralized AI agent service

Time series forecasting with PyTorch

List of telegram groups, channels & bots // Список интересных групп, каналов и ботов телеграма // Список чатов для программистов

Run Keras models in the browser, with GPU support using WebGL

On-device AI across mobile, embedded and edge for PyTorch

Kodezi Chronos is a debugging-first language model that achieves state-of-the-art results on SWE-bench Lite (80.33%) and 67% real-world fix accuracy, over six times better than GPT-4. Built with Adaptive Graph-Guided Retrieval and Persistent Debug Memory. Model available Q1 2026 via Kodezi OS.

Machine Learning and Agentic AI Resources, Practice and Research

The 3rd edition of course.fast.ai

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

Torchreid: Deep learning person re-identification in PyTorch.

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

Lightning ⚡️ fast forecasting with statistical and econometric models.

A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

《Machine Learning Systems: Design and Implementation》 (V2 is launching soon）

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

An Engine-Agnostic Deep Learning Framework in Java