Starred repositories
A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience
🤗 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.
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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
Enjoy the magic of Diffusion models!
FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
YSDA course in Natural Language Processing
Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.
📈 韭菜盒子VSCode插件,可以看股票、基金、期货等实时数据。 Leek box - Monitor the real-time data of stock & fund & future in VSCode, Be the most excellent investment extension.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Visualizer for neural network, deep learning and machine learning models
[ICML2025] SpargeAttention: A training-free sparse attention that accelerates any model inference.
Models and examples built with TensorFlow
🐍 Geometric Computer Vision Library for Spatial AI
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba. Full multimodal LLM Android App:[MNN-LLM-Android](./apps/Android/MnnLlmChat/READ…
💬 An extensive collection of exceptional resources dedicated to the captivating world of talking face synthesis! ⭐ If you find this repo useful, please give it a star! 🤩
[ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across language, image, and video models.
Implementation of popular deep learning networks with TensorRT network definition API
Minimal examples of data structures and algorithms in Python
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