Training
mlcommons
Reference implementations of MLPerf® training benchmarks
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1.8KGitHub
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Dreambooth Stable Diffusion
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…
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3.2KGitHub
Transformers
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…
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161.6KGitHub
DeepSpeed
deepspeedai
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
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42.5KGitHub
Onnxruntime
microsoft
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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20.8KGitHub
Ml Agents
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…
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19.5KGitHub
Tfjs
tensorflow
A WebGL accelerated JavaScript library for training and deploying ML models.
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19.1KGitHub
Horovod
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
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14.7KGitHub
Snorkel
snorkel-team
A system for quickly generating training data with weak supervision
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6KGitHub
DALI
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…
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5.7KGitHub
Nsfw Data Scraper
alex000kim
Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier
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12.6KGitHub
Ignite
pytorch
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
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4.8KGitHub
SwanLab
SwanHubX
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl /…
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4KGitHub
TransformerEngine
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…
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3.4KGitHub
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