Stars
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Google Research
A game theoretic approach to explain the output of any machine learning model.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
This repository contains implementations and illustrative code to accompany DeepMind publications
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Code for Tensorflow Machine Learning Cookbook
Tutorials and programming exercises for learning Q# and quantum computing
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Probabilistic reasoning and statistical analysis in TensorFlow
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Language-Agnostic SEntence Representations
A small package to create visualizations of PyTorch execution graphs
Fast and flexible AutoML with learning guarantees.
Optimize prompts, code, and more with AI-powered Reflective Text Evolution
Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主)，每天更新 https://finmind.github.io/
Puzzles for learning Triton
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
A curated list of awesome embedding models tutorials, projects and communities.
Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.