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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:Volcengine Verl Vision Language Model RL Training
- Workflow:Huggingface Transformers Pipeline Inference
- Workflow:Togethercomputer Together python Chat Completion
- Workflow:Kserve Kserve LLM Disaggregated Serving
- Workflow:Getgauge Taiko Network Request Interception
- Workflow:Spotify Luigi Database Ingestion Pipeline
- Workflow:PacktPublishing LLM Engineers Handbook Model Evaluation
- Workflow:Avhz RustQuant Yield Curve Construction
- Workflow:Protectai Modelscan Programmatic Model Scanning
- Workflow:Open compass VLMEvalKit API Model Evaluation
Principles
- Principle:Shiyu coder Kronos Single Series Forecasting
- Principle:Ggml org Llama cpp Embedding API
- Principle:Turboderp org Exllamav2 Constrained Generation
- Principle:Onnx Onnx External Data Loading
- Principle:Sktime Pytorch forecasting Decomposition Linear
- Principle:Wandb Weave LLM Call Interception
- Principle:Spotify Luigi Task Simulation
- Principle:Nightwatchjs Nightwatch Step Definition Implementation
- Principle:Truera Trulens LangGraph Agent Construction
- Principle:Vllm project Vllm API Server Deployment
Implementations
- Implementation:Run llama Llama index MetadataReplacementPostProcessor
- Implementation:Mlflow Mlflow Database CLI
- Implementation:ARISE Initiative Robosuite GymWrapper
- Implementation:Microsoft Semantic kernel InvokePromptStreamingAsync
- Implementation:TobikoData Sqlmesh Plan Component
- Implementation:Open compass VLMEvalKit PhyX Utils
- Implementation:Microsoft Onnxruntime OrtEpDevice
- Implementation:Huggingface Diffusers Prior Image Generation
- Implementation:Online ml River Datasets Restaurants
- Implementation:Apache Flink SourceReaderOptions
Heuristics
- Heuristic:Kserve Kserve Prefix Cache Consistency
- Heuristic:Testtimescaling Testtimescaling github io Hardcoded IDs vs Registry
- Heuristic:Scikit learn Scikit learn N Jobs Parallelism Tips
- Heuristic:Norrrrrrr lyn WAInjectBench Balanced Class Weights Imbalanced Data
- Heuristic:Langgenius Dify Token Refresh Loop Prevention
- Heuristic:PrefectHQ Prefect HTTP Connection Pool Tuning
- Heuristic:Openai Openai node Browser Safety Guard
- Heuristic:Ucbepic Docetl Token Counting And Truncation
- Heuristic:Run llama Llama index Chunk Size Optimization
- Heuristic:Liu00222 Open Prompt Injection Attack Effectiveness Hierarchy
Environments
- Environment:Deepspeedai DeepSpeed Multi Accelerator Environment
- Environment:Marker Inc Korea AutoRAG API Keys Configuration
- Environment:Run llama Llama index Sentence Transformers Finetuning
- Environment:DistrictDataLabs Yellowbrick Optional NLP Dependencies
- Environment:Apache Flink Java Build Environment
- Environment:Intel Ipex llm XPU Finetuning Environment
- Environment:Triton inference server Server Docker Container Build
- Environment:Vllm project Vllm Python
- Environment:ChenghaoMou Text dedup Suffix Array External Tools
- Environment:Fastai Fastbook Sklearn Environment