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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
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
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