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Package Usage: pypi: mosaicml

Composer is a PyTorch library that enables you to train neural networks faster, at lower cost, and to higher accuracy.
38 versions
Latest release: 5 months ago
1 dependent package
43,315 downloads last month

View more package details: https://packages.ecosyste.ms/registries/pypi.org/packages/mosaicml

View more repository details: https://repos.ecosyste.ms/hosts/GitHub/repositories/mosaicml%2Fcomposer

Dependent Repos 104

TingkaiLiu/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 269 MB - Last synced: 11 months ago - Pushed: over 1 year ago

zcin/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 377 MB - Last synced: 4 days ago - Pushed: 4 days ago

scv119/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 339 MB - Last synced: 5 months ago - Pushed: 5 months ago

mcx/wandb Fork of wandb/wandb
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
  • * tests/functional_tests/t0_main/imports/10-batch10-requirements.txt

Size: 59.5 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

gjoliver/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 284 MB - Last synced: 12 months ago - Pushed: 12 months ago

chauhang/uber-prof
  • * training-job/requirements.txt

Size: 82.2 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

mosaicml/examples
Fast and flexible reference benchmarks
  • ==0.7.1 blogs/resnet/requirements.txt

Size: 59.9 MB - Last synced: about 1 month ago - Pushed: 3 months ago

piotrhm/master-thesis
  • * requirements.txt

Size: 437 KB - Last synced: 7 months ago - Pushed: 7 months ago

mvpatel2000/diffusion-benchmark Fork of mosaicml/diffusion-benchmark
  • ==0.12.1 requirements.txt

Size: 57.6 KB - Last synced: about 1 year ago - Pushed: about 1 year ago

vedantroy/improved-ddpm-pytorch
Implementation of "Improved Denoising Diffusion Probabilistic Models" in Pytorch
  • ==0.8.2 requirements.txt

Size: 10.6 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago

codestar12/composer-hydra-template
  • >=0.8.2 requirements.txt

Size: 69.3 KB - Last synced: 13 days ago - Pushed: over 1 year ago

jianoaix/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 264 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

dakinggg/examples Fork of mosaicml/examples
Fast and flexible reference benchmarks
  • ==0.12.1 examples/bert/requirements.txt
  • >=0.11.0,<0.13 examples/deeplab/requirements.txt
  • >=0.11.0,<0.13 examples/resnet_cifar/requirements.txt
  • ==0.12.1 examples/llm/requirements.txt
  • >=0.11.0,<0.13 examples/resnet_imagenet/requirements.txt
  • >=0.12.1,<0.13 examples/stable_diffusion/requirements.txt
  • >=0.12,<0.13 requirements.txt

Size: 15.3 MB - Last synced: 10 months ago - Pushed: 10 months ago

SkyBelll/snykexample2
  • * tests/functional_tests/t0_main/imports/10-batch10-requirements.txt

Size: 44.9 MB - Last synced: 4 days ago - Pushed: 5 days ago

ayulockin/wandb Fork of wandb/wandb
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
  • * tests/functional_tests/t0_main/imports/10-batch10-requirements.txt

Size: 54.2 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

mattip/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 352 MB - Last synced: 25 days ago - Pushed: about 1 month ago

ju2ez/ray Fork of ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 259 MB - Last synced: about 1 month ago - Pushed: about 1 year ago

mansheej/lth_diet
  • ==0.5.0 requirements.txt

Size: 17.1 MB - Last synced: 5 days ago - Pushed: almost 2 years ago

CharonWangg/shallowmind
A config-based ANN training tool inspired by MMSegmentation
  • ==0.9.0 requirements.txt

Size: 288 KB - Last synced: about 1 year ago - Pushed: over 1 year ago

samhavens/pile-of-law-mds
Download Pile of Law and Convert to MDS format
  • ==0.11.1 experiments/sentpiece_tokenize/tokenize_requirements.txt

Size: 51.8 KB - Last synced: 3 months ago - Pushed: over 1 year ago

yuduber/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 252 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

amitabe/wandb Fork of wandb/wandb
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
  • * tests/functional_tests/t0_main/imports/10-batch10-requirements.txt

Size: 60.8 MB - Last synced: 10 months ago - Pushed: 10 months ago

pcheema-scribd/ray Fork of ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 242 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

nik-mosaic/examples Fork of mosaicml/examples
Fast and flexible reference benchmarks
  • ==0.11.1 bert/requirements.txt
  • ==0.11.0 cifar/requirements.txt
  • ==0.11.0 deeplab/requirements.txt
  • ==0.11.1 llm/requirements.txt
  • ==0.11.0 resnet/requirements.txt

Size: 15.3 MB - Last synced: 4 months ago - Pushed: 10 months ago

tomsunelite/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 279 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

sophiawisdom/benchmarks-adafactor Fork of mosaicml/examples
Fast and flexible reference benchmarks
  • ==0.11.1 bert/requirements.txt
  • ==0.11.0 cifar/requirements.txt
  • ==0.11.0 deeplab/requirements.txt
  • ==0.11.0 llm/requirements.txt
  • ==0.7.1 resnet/requirements.txt

Size: 2.35 MB - Last synced: 10 months ago - Pushed: over 1 year ago

smorad/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 252 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

avivhaber/ray Fork of ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 246 MB - Last synced: 11 months ago - Pushed: over 1 year ago

minds-ai/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 350 MB - Last synced: about 1 month ago - Pushed: about 2 months ago

zoltan-fedor/ray Fork of ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 246 MB - Last synced: 10 months ago - Pushed: over 1 year ago

scottsun94/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 314 MB - Last synced: 9 months ago - Pushed: 9 months ago

ilee300a/ray Fork of ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 230 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

jiaodong/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 251 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

simon-mo/ray Fork of ray-project/ray
A high-performance distributed execution engine
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 250 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

XinYao1994/ray Fork of ray-project/ray
A fast and simple framework for building and running distributed applications.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 337 MB - Last synced: 3 months ago - Pushed: 3 months ago

ijrsvt/ray Fork of ray-project/ray
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 334 MB - Last synced: 5 months ago - Pushed: 5 months ago

sriram-anyscale/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 262 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

XuehaiPan/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 351 MB - Last synced: 29 days ago - Pushed: 29 days ago

alipay/ant-ray Fork of ray-project/ray
A high-performance distributed execution engine
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 450 MB - Last synced: about 1 month ago - Pushed: 2 months ago

clarng/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 272 MB - Last synced: 6 months ago - Pushed: about 1 year ago

jonsaadfalcon/m2 Fork of HazyResearch/m2
Repo for "Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture"
  • >=0.14.0,<0.15 bert/requirements.txt

Size: 38.7 MB - Last synced: 7 months ago - Pushed: 7 months ago

edoakes/ray Fork of ray-project/ray
A fast and simple framework for building and running distributed applications.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 362 MB - Last synced: 24 days ago - Pushed: 25 days ago

afzalmushtaque/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 246 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

A-Jacobson/examples Fork of mosaicml/examples
Fast and flexible reference benchmarks
  • ==0.12.1 examples/bert/requirements.txt
  • >=0.11.0,<0.13 examples/cifar/requirements.txt
  • >=0.11.0,<0.13 examples/deeplab/requirements.txt
  • ==0.12.1 examples/llm/requirements.txt
  • >=0.11.0,<0.13 examples/resnet/requirements.txt
  • >=0.12,<0.13 requirements.txt

Size: 18.4 MB - Last synced: 4 months ago - Pushed: 4 months ago

mosaicml/diffusion-benchmark
  • ==0.12.0 requirements.txt

Size: 15.6 KB - Last synced: about 1 year ago - Pushed: over 1 year ago

DmitriGekhtman/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 259 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

bmosaicml/lm-evaluation-harness-composergpt-integration Fork of EleutherAI/lm-evaluation-harness
A framework for few-shot evaluation of autoregressive language models.
  • * setup.py

Size: 9.28 MB - Last synced: 29 days ago - Pushed: over 1 year ago

tweag/ray Fork of ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 349 MB - Last synced: 29 days ago - Pushed: about 1 month ago

kouroshHakha/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 394 MB - Last synced: 5 months ago - Pushed: 5 months ago

shrekris-anyscale/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 356 MB - Last synced: about 1 month ago - Pushed: about 1 month ago

vchiley/examples Fork of mosaicml/examples
Fast and flexible reference benchmarks
  • ==0.12.1 examples/bert/requirements.txt
  • >=0.11.0,<0.13 examples/cifar/requirements.txt
  • >=0.11.0,<0.13 examples/deeplab/requirements.txt
  • ==0.12.1 examples/llm/requirements.txt
  • >=0.11.0,<0.13 examples/resnet/requirements.txt
  • >=0.12,<0.13 requirements.txt

Size: 15 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

wuisawesome/ray Fork of ray-project/ray
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 282 MB - Last synced: 11 months ago - Pushed: about 1 year ago

Rohan138/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 322 MB - Last synced: 6 months ago - Pushed: 6 months ago

YQ-Wang/ray Fork of ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 264 MB - Last synced: 8 months ago - Pushed: about 1 year ago

architkulkarni/ray Fork of ray-project/ray
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 376 MB - Last synced: about 1 month ago - Pushed: about 1 month ago

samhavens/m-lex-glue
lex-GLUE on MCloud
  • >=0.11.1 requirements.txt

Size: 209 KB - Last synced: 3 months ago - Pushed: over 1 year ago

007gzs/test
  • * requirements.txt

Size: 1.6 MB - Last synced: 5 months ago - Pushed: 5 months ago

llv22/ray-macOS-cuda
Ray for macOS 10.13.6
  • ==0.10.1 python/requirements/ml/requirements_train.txt

Size: 254 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

mosaicml/diffusion
  • * setup.py

Size: 19.6 MB - Last synced: 4 days ago - Pushed: 4 days ago

bmosaicml/inference_benchmarking
  • * requirements.txt

Size: 162 KB - Last synced: 28 days ago - Pushed: about 1 year ago

SGuoying/examples
  • >=0.14.0,<0.15 examples/bert/requirements.txt
  • >=0.14.0,<0.15 examples/deeplab/requirements.txt
  • ==0.13.4 examples/llm/requirements.txt
  • >=0.14.0,<0.15 examples/resnet_cifar/requirements.txt
  • >=0.13.4,<0.14 examples/resnet_imagenet/requirements.txt
  • >=0.14.0,<0.15 examples/stable_diffusion/requirements.txt
  • >=0.13.2,<0.14 examples/stable_diffusion_dreambooth/requirements-cpu.txt
  • >=0.14.0,<0.15 examples/stable_diffusion_dreambooth/requirements.txt
  • >=0.13.4,<0.14 requirements.txt

Size: 58.3 MB - Last synced: 10 months ago - Pushed: about 1 year ago

dataloop-ai-apps/mpt-llm-foundry
Model adapter for MPT LLM Foundry
  • * setup.py

Size: 603 KB - Last synced: 10 months ago - Pushed: 12 months ago

haoranD/llm-foundry Fork of mosaicml/llm-foundry
LLM training code for MosaicML foundation models
  • * setup.py

Size: 22.6 MB - Last synced: 11 months ago - Pushed: about 1 year ago

llm-jp/llm-foundry Fork of mosaicml/llm-foundry
LLM training code for MosaicML foundation models
  • * setup.py

Size: 36.3 MB - Last synced: 19 days ago - Pushed: 8 months ago

namlede/backward-llm-foundry Fork of mosaicml/llm-foundry
LLM training code for MosaicML foundation models (but backward)
  • * setup.py

Size: 30.1 MB - Last synced: 10 months ago - Pushed: 10 months ago

ittailup/llm-foundry Fork of mosaicml/llm-foundry
LLM training code for MosaicML foundation models
  • * setup.py

Size: 35.9 MB - Last synced: 29 days ago - Pushed: 10 months ago

woshiyyya/CUJ
  • ==0.12.1 notebooks/madewithml/wandb/run-20230717_135225-z2p4rpk2/files/requirements.txt

Size: 184 KB - Last synced: about 1 month ago - Pushed: 10 months ago

csqr/diffusion-benchmark Fork of mosaicml/diffusion-benchmark
Stable diffusion training
  • ==0.12.0 requirements.txt

Size: 13.7 KB - Last synced: 10 months ago - Pushed: over 1 year ago