Learn how to develop, deploy and iterate on production-grade ML applications.
-
Updated
Mar 4, 2026 - Jupyter Notebook
GeezerVisonThe World Wide Web, restored to 800 pixels of glory. |
| Home|About|Gaming cabinet|Archives|How it works|Starter sites |
GeezerVison is showing github.com — Build software better, together
#
distributed-trainingHere are 648 public repositories matching this topic...Language: All
Filter by language
Sort: Most stars
Sort options
Learn how to develop, deploy and iterate on production-grade ML applications.
python data-science machine-learning natural-language-processing deep-learning pytorch data-engineering ray data-quality distributed-training mlops distributed-ml llms llmops
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
optimizer pytorch imagenet image-classification resnet pretrained-models mixnet pretrained-weights distributed-training mobilenet-v2 mobile-deep-learning mobilenetv3 efficientnet augmix randaugment nfnets normalization-free-training vision-transformer-models convnext maxvit
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
python machine-learning deep-learning neural-network scalability efficiency paddlepaddle distributed-training
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
nlp search-engine compression sentiment-analysis transformers information-extraction question-answering llama pretrained-models embedding bert semantic-analysis distributed-training ernie neural-search uie document-intelligence paddlenlp llm
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
machine-learning deep-learning gpu job-scheduler slurm cloud-management spot-instances cloud-computing job-queue hyperparameter-tuning cost-optimization distributed-training multicloud ml-infrastructure tpu mlops ml-platform llm-serving llm-training
Build, Manage and Deploy AI/ML Systems
python kubernetes aws machine-learning ai azure gcp ml datascience high-performance-computing agents model-management cost-optimization distributed-training ml-infrastructure mlops ml-platform llm generative-ai llmops
Democratizing Reinforcement Learning for LLMs
machine-learning reinforcement-learning tinker distributed-training ml-infrastructure ml-platform agent-framework search-agent llm-training llm-reasoning agentic-workflow swe-agent verl coding-agent
Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系,成为中文AIGC和认知智能的基础设施。
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
machine-learning deep-learning inference-engine model-deployment model-serving distributed-training federated-learning mlops edge-ai ai-agent on-device-training
A high performance and generic framework for distributed DNN training
Fast and flexible AutoML with learning guarantees.
python machine-learning deep-learning tensorflow gpu ensemble automl learning-theory neural-architecture-search distributed-training tpu
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
kubernetes data-science machine-learning deep-learning tensorflow keras pytorch hyperparameter-optimization hyperparameter-tuning hyperparameter-search distributed-training ml-infrastructure mlops ml-platform
Training and serving large-scale neural networks with auto parallelization.
machine-learning deep-learning compiler distributed-computing high-performance-computing distributed-training jax alpa auto-parallelization llm
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
distributed-systems machine-learning deep-learning pytorch dht neural-networks asyncio asynchronous-programming volunteer-computing hivemind distributed-training mixture-of-experts
DLRover: An Automatic Distributed Deep Learning System
Collective communications library with various primitives for multi-machine training.
Library for Fast and Flexible Human Pose Estimation
computer-vision tensorflow neural-networks tensorlayer pose-estimation tensorrt mobilenet openpose distributed-training
DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.
python search-engine machine-learning deep-learning scalability recommendation-engine advertising distributed-training
Efficient Deep Learning Systems course materials
machine-learning deep-learning cuda pytorch performance-optimization distributed-training ml-infrastructure mlops inference-optimization efficient-deep-learning ml-systems
Halo is an open-source framework built by White Circle for training large language and multimodal models
agent reinforcement-learning transformers pytorch moe lora quantization model-parallelism distributed-training fine-tuning post-training peft multimodal large-language-models llm rlhf vllm qlora grpo async-rl
Add this topic to your repoTo associate your repository with the distributed-training topic, visit your repo's landing page and select "manage topics." |
| You are visitor 01402503 — GeezerVison does not store the pages you look up. Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required. |