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Your ML & Data Knowledge Wiki. Best practices and expert-level knowledge for Machine Learning and Data Engineering, covering 1000+ frameworks and libraries from training to deployment.
Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast.
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| Category | Description | Browse |
|---|---|---|
| Workflows | Step-by-step processes and procedures | Browse All |
| Principles | Core ideas and foundational knowledge | Browse All |
| Implementations | Code-level details and modules | Browse All |
| Heuristics | Best practices and guidelines | Browse All |
| Environments | Setup and configuration guides | Browse All |
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Workflows
- Workflow:Togethercomputer Together python Batch Inference
- Workflow:Mlc ai Web llm Chrome Extension Integration
- Workflow:Ggml org Llama cpp Interactive Chat
- Workflow:Googleapis Python genai Model Fine Tuning
- Workflow:MaterializeInc Materialize CI Pipeline Generation
- Workflow:Predibase Lorax Multi Adapter Merging
- Workflow:Apache Paimon Distributed Processing With Ray
- Workflow:Eric mitchell Direct preference optimization SFT Training
- Workflow:Openclaw Openclaw Agent Message Loop
- Workflow:HKUDS AI Trader Multi Agent Comparison
Principles
- Principle:Bigscience workshop Petals Prompt Tuning
- Principle:Kubeflow Pipelines Reusable Component Loading
- Principle:DevExpress Testcafe Execution Parameter Tuning
- Principle:Mit han lab Llm awq NVILA Model Construction
- Principle:Hpcaitech ColossalAI GRPO Producer Setup
- Principle:Microsoft Agent framework Sequential Orchestration
- Principle:Puppeteer Puppeteer Cross Browser Configuration
- Principle:Pyro ppl Pyro Gradient Estimation
- Principle:Iamhankai Forest of Thought CGDM Answer Selection
- Principle:Fastai Fastbook Fine Tuning
Implementations
- Implementation:Hiyouga LLaMA Factory Processor Utils
- Implementation:Interpretml Interpret MorrisSensitivity
- Implementation:Scikit learn Scikit learn DecisionTreeClassifier
- Implementation:Ray project Ray Serve ReplicaConfig
- Implementation:InternLM Lmdeploy Logger
- Implementation:Treeverse LakeFS Java SDK Model Merge
- Implementation:Microsoft Playwright Trace Mode Config
- Implementation:TobikoData Sqlmesh Context Plan For Environment
- Implementation:Datahub project Datahub MetadataChangeProposalWrapper Init
- Implementation:Getgauge Taiko Button
Heuristics
- Heuristic:Gretelai Gretel synthetics GPU Memory Allow Growth
- Heuristic:Vespa engine Vespa Config Polling Timeout Tuning
- Heuristic:Hpcaitech ColossalAI Warning Deprecated Ray Detached PPO
- Heuristic:ARISE Initiative Robosuite Hard Reset Vs Soft Reset
- Heuristic:Fede1024 Rust rdkafka Manual Offset Store Pattern
- Heuristic:Heibaiying BigData Notes Hive ORC Parquet Storage Tip
- Heuristic:Explodinggradients Ragas Concurrency And Rate Limiting
- Heuristic:SeldonIO Seldon core Tracing Latency Tip
- Heuristic:Mage ai Mage ai Sorted Data Bookmark Strategy
- Heuristic:Huggingface Optimum GPTQ Quantization Defaults
Environments
- Environment:Guardrails ai Guardrails Docker Server Runtime
- Environment:Tensorflow Tfjs Node Native Runtime
- Environment:Tensorflow Serving Python Client Environment
- Environment:ClickHouse ClickHouse CI Docker Environment
- Environment:Norrrrrrr lyn WAInjectBench External Repos Dependencies
- Environment:DataExpert io Data engineer handbook Spark Iceberg Docker Environment
- Environment:Facebookresearch Habitat lab HITL Runtime Environment
- Environment:Bentoml BentoML NVIDIA GPU Resource
- Environment:DevExpress Testcafe Firefox Marionette
- Environment:Axolotl ai cloud Axolotl Multi GPU