Stars
Curated list of project-based tutorials
An Open Source Machine Learning Framework for Everyone
Curated coding interview preparation materials for busy software engineers
Design patterns implemented in Java
scikit-learn: machine learning in Python
The world's simplest facial recognition api for Python and the command line
The simplest, fastest repository for training/finetuning medium-sized GPTs.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Apache Spark - A unified analytics engine for large-scale data processing
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Visualizer for neural network, deep learning and machine learning models
The fundamental package for scientific computing with Python.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Multi-platform auto-proxy client, supporting Sing-box, X-ray, TUIC, Hysteria, Reality, Trojan, SSH etc. It’s an open-source, secure and ad-free.
Mastering Bitcoin 3rd Edition - Programming the Open Blockchain
A Java serialization/deserialization library to convert Java Objects into JSON and back
The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Production-ready fullstack but simple mail server (SMTP, IMAP, LDAP, Antispam, Antivirus, etc.) running inside a container.
Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vicuna, Claude, ChatGLM, MOSS, 讯飞星火, 文心一言 and more, discover the best answers
Companion webpage to the book "Mathematics For Machine Learning"
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
A safe, extensible ORM and Query Builder for Rust
A MNIST-like fashion product database. Benchmark 👇
FlashMLA: Efficient Multi-head Latent Attention Kernels
Cracking the Coding Interview 6th Ed. Solutions