Projects with this topic
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🔧 🔗 https://github.com/sgl-project/sglangSGLang is a fast serving framework for large language models and vision language models.
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huggingface.co/transformers https://github.com/huggingface/transformers🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.Updated -
🔧 🔗 https://github.com/vllm-project/vllmA high-throughput and memory-efficient inference and serving engine for LLMs
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🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.Updated -
🔧 🔗 https://github.com/lucidrains/vector-quantize-pytorch Vector (and Scalar) Quantization, in PytorchUpdated -
🔧 🔗 https://github.com/pytorch/torchtune PyTorch native post-training libraryUpdated -
🔧 🔗 https://github.com/flashinfer-ai/flashinferFlashInfer: Kernel Library for LLM Serving
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🔧 🔗 https://github.com/yandexdataschool/deep_vision_and_graphicsCourse about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.
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https://github.com/Lightning-AI/torchmetrics Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.
🔗 https://lightning.ai/docs/torchmetrics/Updated -
LLMs from scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
🔧 🔗 https://github.com/rasbt/LLMs-from-scratchUpdated -
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Jarvis Tools
https://github.com/usnistgov/jarvis an open-source software package for data-driven atomistic materials design.
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🔧 🔗 https://github.com/IAHispano/ApplioA simple, high-quality voice conversion tool focused on ease of use and performance
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🔧 🔗 https://github.com/modelscope/data-juicer Making data higher-quality, juicier, and more digestible for foundation models!🍎 🍋 🌽 ➡️ ➡️ 🍸 🍹 🍷 为大模型提供更高质量、更丰富、更易”消化“的数据!Updated -
🔧 🔗 https://github.com/NVIDIA/apexA PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
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https://github.com/Lightning-AI/pytorch-lightning
🔗 lightning.ai Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.Updated -
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pyannote audio
🔧 🔗 https://github.com/pyannote/pyannote-audio Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker emUpdated -
🔧 🔗 https://github.com/lucidrains/transfusion-pytorchPytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI
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