Adaptive Experimentation Platform

Convert PDF to markdown + JSON quickly with high accuracy

[EMNLP 2025 Demo] PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/MCP/Docker/Zotero

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An Open Source Machine Learning Framework for Everyone

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

📚 从零开始的大语言模型原理与实践教程

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Energy Management System

Build cross-platform desktop apps with JavaScript, HTML, and CSS

Visualizer for neural network, deep learning and machine learning models

Statistical Machine Intelligence & Learning Engine

A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.

Google's Operations Research tools:

中文 CSL 样式 - Zotero 中文社区

Google core libraries for Java

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

A toolkit for time series machine learning and deep learning

Graph Neural Network Library for PyTorch

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…

🏆 Discover best-of lists with awesome open-source projects on all kinds of topics.

🏅 Collection of Kaggle Solutions and Ideas 🏅

Bayesian optimization in PyTorch

Deep Learning for humans

Declarative visualization library for Python

PyTorch tutorials.

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

Optimization package for the Security-Constrained Unit Commitment Problem