Python - 100天从新手到大师

Learn how to develop, deploy and iterate on production-grade ML applications.

Anthropic's Interactive Prompt Engineering Tutorial

AirLLM 70B inference with single 4GB GPU

A High-Quality Real Time Upscaler for Anime Video

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

Python training for business analysts and traders

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

A scikit-learn compatible neural network library that wraps PyTorch

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

250+ Fine-tuning & RL Notebooks for text, vision, audio, embedding, TTS models.

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

pandas中文教程

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

A small package to create visualizations of PyTorch execution graphs

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

This is code of book "Learn Deep Learning with PyTorch"

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍

A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.

Proposes neural networks that can generate animation of virtual characters for different actions.

Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

Detectorch - detectron for PyTorch