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📚 Freely available programming books
🤗 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.
A cryptocurrency trading API with more than 100 exchanges in JavaScript / TypeScript / Python / C# / PHP / Go
The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
MiniCPM-V 4.5: A GPT-4o Level MLLM for Single Image, Multi Image and High-FPS Video Understanding on Your Phone
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
Fast and Accurate ML in 3 Lines of Code
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
💬 Machine Learning Course with Python:
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
Fast as FUCK nvim completion. SQLite, concurrent scheduler, hundreds of hours of optimization.
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
Run PyTorch LLMs locally on servers, desktop and mobile
Generate embeddings from large-scale graph-structured data.
Code for the paper "Evaluating Large Language Models Trained on Code"
Best Claude Code framework that actually save time. Built by a dev tired of typing "please act like a senior engineer" in every conversation.
Graphormer is a general-purpose deep learning backbone for molecular modeling.