OPENAGENTSKILL / DIRECTORY
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mlcommons
Reference implementations of MLPerf® training benchmarks
deepspeedai
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
tensorflow
A WebGL accelerated JavaScript library for training and deploying ML models.
NVIDIA
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference appl…
NVIDIA
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, t…
NVIDIA
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
lupinemachines
LUPINE is a GPU over IP bridge allowing GPUs on remote machines to be attached to CPU-only machines.
huggingface
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…
microsoft
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Unity-Technologies
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agen…
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python,…
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