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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:ChenghaoMou Text dedup Bloom Filter Deduplication
- Workflow:Nightwatchjs Nightwatch Component Testing
- Workflow:Langgenius Dify Docker Deployment
- Workflow:Ucbepic Docetl Python API Pipeline
- Workflow:Cypress io Cypress E2E Test Execution
- Workflow:Neuml Txtai RAG Pipeline
- Workflow:Speechbrain Speechbrain Speech Separation Training
- Workflow:Bigscience workshop Petals Prompt Tuning Classification
- Workflow:Vespa engine Vespa Document indexing pipeline
- Workflow:Ray project Ray Serve Deployment
Principles
- Principle:Spotify Luigi Metrics Collection
- Principle:Apache Flink File Commit Finalization
- Principle:Danijar Dreamerv3 Data Collection And Training
- Principle:Mlc ai Web llm Extension Client Engine
- Principle:Openai Openai agents python Shared Context
- Principle:Microsoft Playwright Assertion and Verification
- Principle:Infiniflow Ragflow Application Embedding
- Principle:Mlflow Mlflow Parameter Logging
- Principle:FlowiseAI Flowise Chatflow Security Configuration
- Principle:Apache Shardingsphere SPI Rule Building
Implementations
- Implementation:Spcl Graph of thoughts Run Benchmark
- Implementation:Vibrantlabsai Ragas RougeScore
- Implementation:Intel Ipex llm Env Check Windows
- Implementation:BerriAI Litellm Prompt Caching Cache
- Implementation:Vibrantlabsai Ragas HaystackEmbeddings
- Implementation:Lm sys FastChat Train Baichuan
- Implementation:Bentoml BentoML GrpcClient
- Implementation:Sgl project Sglang SM100 MLA Tile Scheduler
- Implementation:Mlc ai Mlc llm Download and cache mlc weights
- Implementation:Facebookresearch Audiocraft MusicGenStyleApp
Heuristics
- Heuristic:Neuml Txtai Memory Streaming Optimization
- Heuristic:Cypress io Cypress Global Install Warning
- Heuristic:Microsoft DeepSpeedExamples Gradient Checkpointing Tradeoff
- Heuristic:Marker Inc Korea AutoRAG Passage Filter Safety Minimum
- Heuristic:Datahub project Datahub Batch Size And Timeout Tuning
- Heuristic:Trailofbits Fickling Force Flag Bypass
- Heuristic:Haotian liu LLaVA Gradient Checkpointing Memory Optimization
- Heuristic:Cleanlab Cleanlab KNN Distance Metric Selection
- Heuristic:Sktime Pytorch forecasting Learning Rate Scheduling
- Heuristic:Rapidsai Cuml CUDA Kernel Caching
Environments
- Environment:Scikit learn contrib Imbalanced learn Python Scikit learn
- Environment:Kubeflow Pipelines KFP Backend Deployment
- Environment:Huggingface Alignment handbook Evaluation Tools
- Environment:Trailofbits Fickling PyTorch
- Environment:Liu00222 Open Prompt Injection CUDA Environment
- Environment:Microsoft Semantic kernel ONNX CUDA Environment
- Environment:FlowiseAI Flowise Database Environment
- Environment:Mistralai Client python GCP Deployment Environment
- Environment:Haosulab ManiSkill Real Robot LeRobot Deps
- Environment:Huggingface Trl PEFT LoRA Environment