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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:Openclaw Openclaw Plugin And Skill Extension
- Workflow:Neuml Txtai Model Training
- Workflow:ClickHouse ClickHouse Contributing Pull Request
- Workflow:Lakeraai Pint benchmark Custom System Evaluation
- Workflow:EvolvingLMMs Lab Lmms eval Custom Model Integration
- Workflow:Cohere ai Cohere python Model Finetuning
- Workflow:Nightwatchjs Nightwatch E2E Test Authoring
- Workflow:Sgl project Sglang Offline Batch Inference
- Workflow:Spcl Graph of thoughts GoT Document Merging Pipeline
- Workflow:Openclaw Openclaw Channel Connection
Principles
- Principle:MaterializeInc Materialize Blue Green Deployment
- Principle:Helicone Helicone Cache Abstraction
- Principle:ARISE Initiative Robosuite Observation Inspection And Cleanup
- Principle:Openai Openai python Structured Output Definition
- Principle:FMInference FlexLLMGen Baseline Benchmark Orchestration
- Principle:PacktPublishing LLM Engineers Handbook Vector Storage
- Principle:Kserve Kserve LLMIsvc Installation
- Principle:Scikit learn Scikit learn Covariance Estimation
- Principle:Ggml org Llama cpp Base64 Encoding
- Principle:Unstructured IO Unstructured Time Profiling
Implementations
- Implementation:CARLA simulator Carla Extract Spawn Points Tool
- Implementation:Kubeflow Kubeflow Kubectl Health Check
- Implementation:Open compass VLMEvalKit ReasonMap Plus
- Implementation:NVIDIA TransformerEngine PyTorch Permutation
- Implementation:Alibaba MNN CMake Build LLM
- Implementation:Vllm project Vllm SGL MoE FP8
- Implementation:SeldonIO Seldon core Sklearn Pipeline Train And Serialize
- Implementation:Ggml org Llama cpp Chat Parser Xml Toolcall Header
- Implementation:Apache Paimon DataType
- Implementation:Apache Paimon CatalogFactory Create
Heuristics
- Heuristic:TobikoData Sqlmesh Execution Time Caching
- Heuristic:Langgenius Dify SSE Streaming Error Handling
- Heuristic:Treeverse LakeFS S3 Multipart Size Constraint
- Heuristic:Cohere ai Cohere python Pydantic V1 V2 Compatibility
- Heuristic:CARLA simulator Carla Sensor Queue Synchronization Pattern
- Heuristic:Danijar Dreamerv3 Replay Context Carry Init
- Heuristic:Microsoft Autogen Model Context Limiting
- Heuristic:Kserve Kserve NCCL RoCE Auto Detection
- Heuristic:Avhz RustQuant Finite Difference Grid Sizing
- Heuristic:MaterializeInc Materialize Docker Image Cache Lookup
Environments
- Environment:Spcl Graph of thoughts OpenAI API Access
- Environment:BerriAI Litellm Docker Deployment
- Environment:Avhz RustQuant Rust Stable
- Environment:EvolvingLMMs Lab Lmms eval Python Runtime Environment
- Environment:Elevenlabs Elevenlabs python Python Websockets
- Environment:Huggingface Alignment handbook PyTorch CUDA
- Environment:Huggingface Trl Python Core Dependencies
- Environment:NVIDIA NeMo Curator Python Linux Base
- Environment:Dotnet Machinelearning Dotnet SDK And Runtime
- Environment:Huggingface Alignment handbook BitsAndBytes CUDA