TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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

Google Research

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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.

A guidance language for controlling large language models.

《统计学习方法》的代码实现

A High-Quality Real Time Upscaler for Anime Video

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Data and code behind the articles and graphics at FiveThirtyEight

📡 Simple and ready-to-use tutorials for TensorFlow

Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting…

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸

Natural Language Processing Tutorial for Deep Learning Researchers

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Code for Machine Learning for Algorithmic Trading, 2nd edition.

This repository contains implementations and illustrative code to accompany DeepMind publications

The "Python Machine Learning (1st edition)" book code repository and info resource

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

Convert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术

Solve puzzles. Learn CUDA.

YSDA course in Natural Language Processing

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

TensorFlow Tutorials with YouTube Videos

Automatic extraction of relevant features from time series:

My blogs and code for machine learning. http://cnblogs.com/pinard

MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.

Using Low-rank adaptation to quickly fine-tune diffusion models.

A unified framework for 3D content generation.