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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:Liu00222 Open Prompt Injection DataSentinel Detection
- Workflow:EvolvingLMMs Lab Lmms eval Custom Model Integration
- Workflow:Ray project Ray Actor Lifecycle Management
- Workflow:Obss Sahi COCO Evaluation
- Workflow:Alibaba MNN Model Compression
- Workflow:Recommenders team Recommenders News Recommendation NRMS
- Workflow:InternLM Lmdeploy LLM API Server Deployment
- Workflow:Webdriverio Webdriverio Standalone Browser Automation
- Workflow:CrewAIInc CrewAI Hierarchical Crew Execution
- Workflow:OpenBMB UltraFeedback Completion Generation
Principles
- Principle:Duckdb Duckdb Release Promotion
- Principle:Scikit learn Scikit learn Ranking Metrics
- Principle:Alibaba MNN PyMNN Installation
- Principle:Sktime Pytorch forecasting Series Decomposition
- Principle:Sktime Pytorch forecasting MQF2 Distribution Forecasting
- Principle:Apache Dolphinscheduler Synchronous RPC Execution
- Principle:Tencent Ncnn C Language Binding
- Principle:Triton inference server Server Classification Postprocessing
- Principle:VainF Torch Pruning Structural Pruning
- Principle:TobikoData Sqlmesh Cross Environment Data Comparison
Implementations
- Implementation:Huggingface Optimum Run And TimeBenchmark
- Implementation:FlowiseAI Flowise Docker Compose Queue Prebuilt
- Implementation:OpenRLHF OpenRLHF KDTrainer
- Implementation:Apache Druid ExecutionProgressBarPane
- Implementation:Recommenders team Recommenders LightGCN
- Implementation:Datajuicer Data juicer ImageAspectRatioFilter
- Implementation:BerriAI Litellm S3 V2 Logger
- Implementation:Pyro ppl Pyro EnergyDistance
- Implementation:Arize ai Phoenix HallucinationEvaluator
- Implementation:Open compass VLMEvalKit Use Custom Prompt
Heuristics
- Heuristic:Datahub project Datahub Docker Memory Preflight
- Heuristic:Diagram of thought Diagram of thought Acyclicity Constraint Enforcement
- Heuristic:Protectai Llm guard PyTorch Compile Warmup
- Heuristic:Puppeteer Puppeteer Headless Linux Requirements
- Heuristic:Hpcaitech ColossalAI Empty Cache Between Phases
- Heuristic:SqueezeAILab ETS Max Depth And Token Guards
- Heuristic:Facebookresearch Audiocraft FSDP Distributed Training Tips
- Heuristic:Danijar Dreamerv3 XLA GPU Optimization Flags
- Heuristic:Openai Evals Eval Resumption Strategy
- Heuristic:Explodinggradients Ragas Concurrency And Rate Limiting
Environments
- Environment:Openai Whisper PyTorch CUDA
- Environment:ARISE Initiative Robomimic PyTorch CUDA Environment
- Environment:Apache Dolphinscheduler ZooKeeper Registry
- Environment:DistrictDataLabs Yellowbrick Optional NLP Dependencies
- Environment:LMCache LMCache NIXL Transfer Library
- Environment:Google research Deduplicate text datasets Python HuggingFace Environment
- Environment:Lm sys FastChat GPU CUDA Inference
- Environment:Farama Foundation Gymnasium MuJoCo Physics Backend
- Environment:OpenRLHF OpenRLHF Ray Distributed Environment
- Environment:Microsoft DeepSpeedExamples VisualChat Training Environment