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distributed-mlHere are 29 public repositories matching this topic...Language: All
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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
Superduper: End-to-end framework for building custom AI applications and agents.
python data database ai mongodb chatbot ml transformers inference torch pytorch pretrained-models semantic-search rag mlops distributed-ml vector-search llmops llm-serving llm-inference
Learn how to design, 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 mlops distributed-ml llms
deploy ML Infrastructure and MLOps tooling anywhere quickly and with best practices with a single command
Nerlnet is a framework for research and development of distributed machine learning models on IoT
python iot distributed-systems machine-learning erlang ai neural-network fault-tolerance ml cowboy federated distributed-machine-learning federated-learning artificial-intelligence-projects distributed-ml federated-learning-framework nerlnet
Dynamic resources changes for multi-dimensional parallelism training
🍎👉🍏 Everything you need in order to get started building distributed machine learning with Apple's MLX
training machine-learning mpi tuning mistral mlx machine-learning-models fine distributed-ml mpi-parallelization mlx-library mistral-7b
A fully adaptive, zero-tuning parameter manager that enables efficient distributed machine learning training
parameter-server distributed-training distributed-ml large-scale-machine-learning parameter-management
Repository that contains the code for the paper titled, 'Unifying Distillation with Personalization in Federated Learning'.
Elixir SDK for the Tinker ML platform—LoRA training, sampling, and service orchestration built on OTP, Finch, and telemetry.
elixir otp sdk beam http2 concurrency telemetry inference api-client mix-tasks hex-package finch developer-experience tinker genserver distributed-ml typespecs lora-training supervision-tree nshkr-ai-infra
🌍 Generate realistic, dynamic environments for robotics research using Isaac Sim. Manage simulations, control robots, and customize workflows easily.
python java go kubernetes workflow machine-learning automation algorithm framework spring-boot deep-learning cncf kops ray fate teaching-tools submitty prisma privacy-preserving distributed-ml
A visual ebook on distributed ML with PCCL, built for students for easy read (educational only) (shoutout to owners: https://github.com/PrimeIntellect-ai/pccl)
An AI agent that teaches itself to fix bugs — MCTS explores debugging strategies, DPO trains on what works. Pipelined across two H100 nodes: one for 4-bit inference and trajectory collection, one for full bf16 LoRA fine-tuning. Built on Qwen2.5-Coder-7B, evaluated on DebugBench. Inspired by Agent Q (Putta et al., 2024).
agent ai mcts lora fine-tuning distributed-ml dpo huggingface foundation-models llm h100 qwen code-debugging self-improving-ai
Network-Aware Federated Optimisation (NAFO): a 5G-native framework that jointly optimizes wireless channel conditions, differential privacy, and multi-modal healthcare AI. Demonstrates robust federated learning under realistic 3GPP network constraints with AoI-aware dynamics.
pytorch flower 3gpp 5g multimodal-learning privacy-preserving federated-learning distributed-ml healthcare-ai fedavg fedprox semantic-communication nafo network-aware-learning
Rust-based distributed ML inference with zero-knowledge proofs for privacy-preserving and verifiable computation.
rust privacy-preserving heterogeneous-computing verifiable-computation zero-knowledge-proofs distributed-ml zkml federated-inference
AllReduce/AllGather scaling in ASTRA-sim across torus vs switch topologies on the analytical + ns-3 backends — latency-bound vs bandwidth-bound over message size and node count. Reproducible Docker/Chakra harness + write-up.
hpc torus ns-3 allreduce roofline network-simulation distributed-ml collective-communication ml-systems astra-sim allgather gpu-interconnect
Rust fork of RL4Sys; Early Single-Agent Distributed Reinforcement Learning Framework written in Rust & exported to Python
Caffe: a fast open framework for deep learning. Caffe-pslite: run deep learning in a cluster with ps-lite (including SSP model)
Federated Learning with differential privacy, secure aggregation, and Byzantine fault tolerance
A simulation framework for federated learning experiments, allowing researchers to test and evaluate privacy-preserving machine learning algorithms on decentralized datasets.
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