- Brazil
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Highlights
Starred repositories
🤗 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.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Models and examples built with TensorFlow
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
🚀 The fast, Pythonic way to build MCP servers and clients.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Install and Run Python Applications in Isolated Environments
Always know what to expect from your data.
Uplift modeling and causal inference with machine learning algorithms
A series of large language models developed by Baichuan Intelligent Technology
Example code for Fluent Python, 2nd edition (O'Reilly 2022)
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
Darwin Gödel Machine: Open-Ended Evolution of Self-Improving Agents
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
Stanford Unsupervised Feature Learning and Deep Learning Tutorial
Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation (NeurIPS 2025)
A neural network architecture for NLP tasks, using cython for fast performance. Currently, it can perform POS tagging, SRL and dependency parsing.
Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks