🦜🔗 Build context-aware reasoning applications

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

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

📡 Simple and ready-to-use tutorials for TensorFlow

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

深度学习入门教程, 优秀文章, Deep Learning Tutorial

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

Your new Mentor for Data Science E-Learning.

llama3 implementation one matrix multiplication at a time

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…

"Probabilistic Machine Learning" - a book series by Kevin Murphy

TensorFlow 最新官方文档中文版

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Homepage for STAT 157 at UC Berkeley

A computer science textbook

Fast and flexible AutoML with learning guarantees.

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

Feature selector is a tool for dimensionality reduction of machine learning datasets

《机器学习宝典》包含：谷歌机器学习速成课程（招式）+机器学习术语表（口诀）+机器学习规则（心得）+机器学习中的常识性问题 （内功）。该资源适用于机器学习、深度学习研究人员和爱好者参考！

Use evolutionary algorithms instead of gridsearch in scikit-learn

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

Jupyter/IPython notebooks about evolutionary computation.