Training
mlcommons
Reference implementations of MLPerf® training benchmarks
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Results: 31
mlcommons
Reference implementations of MLPerf® training benchmarks
dynamicslab
A package for the sparse identification of nonlinear dynamical systems from data
JoePenna
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/ab…
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…
deepspeedai
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
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…
tensorflow
A WebGL accelerated JavaScript library for training and deploying ML models.
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
snorkel-team
A system for quickly generating training data with weak supervision
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…
alex000kim
Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier
pytorch
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
SwanHubX
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl /…
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
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