Training
mlcommons
Reference implementations of MLPerf® training benchmarks
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Results: 17
mlcommons
Reference implementations of MLPerf® training benchmarks
dmlc
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,…
cadence-workflow
Cadence is a distributed, scalable, durable, and highly available orchestration engine to execute asynchronous long-running business logic in a scalable and resilient wa…
pykeio
Fast ML inference & training for ONNX models in Rust
GradientHQ
Parallax is a distributed model serving framework that lets you build your own AI cluster anywhere
deepspeedai
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
tensorflow
A WebGL accelerated JavaScript library for training and deploying ML models.
crawlab-team
Distributed web crawler admin platform for spiders management regardless of languages and frameworks. 分布式爬虫管理平台,支持任何语言和框架
snorkel-team
A system for quickly generating training data with weak supervision
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.
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
meta-pytorch
Training PyTorch models with differential privacy
meta-pytorch
A lightweight library for PyTorch training tools and utilities