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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:Predibase Lorax Structured JSON Output
- Workflow:MaterializeInc Materialize Release Process
- Workflow:FlagOpen FlagEmbedding Embedder Finetuning
- Workflow:Langgenius Dify App Creation and Configuration
- Workflow:Romsto Speculative Decoding Interactive CLI Comparison
- Workflow:Langchain ai Langgraph Functional API Workflow
- Workflow:Openclaw Openclaw Multi Agent Routing
- Workflow:Langgenius Dify RAG Pipeline Development
- Workflow:VainF Torch Pruning LLM Structural Pruning
- Workflow:Ollama Ollama Model Pull And Run
Principles
- Principle:Facebookresearch Audiocraft Hydra Training Configuration
- Principle:Openclaw Openclaw Reply Delivery
- Principle:FMInference FlexLLMGen Offloaded Text Generation
- Principle:Duckdb Duckdb CMake Build Configuration
- Principle:Unstructured IO Unstructured Document Partitioning
- Principle:Avhz RustQuant Business Calendar
- Principle:Webdriverio Webdriverio Cloud Session Management
- Principle:HKUDS AI Trader Parallel Agent Execution
- Principle:Bitsandbytes foundation Bitsandbytes FP8 Simulated Quantization Matmul
- Principle:Microsoft Semantic kernel AI Service Registration
Implementations
- Implementation:Huggingface Transformers Add Adapter For QLoRA
- Implementation:Hpcaitech ColossalAI MTBenchDataset
- Implementation:Protectai Llm guard Config
- Implementation:Facebookresearch Audiocraft MusicGenSolver run step
- Implementation:Anthropics Anthropic sdk python Cloud Provider Auth
- Implementation:Sgl project Sglang CPU Common Header
- Implementation:Apache Shardingsphere ShadowRule GetShadowDataSourceMappings
- Implementation:ClickHouse ClickHouse Clickhouse Add Executable Macro
- Implementation:CrewAIInc CrewAI Crew Train Method
- Implementation:Hpcaitech ColossalAI RLVRRewardModel Class
Heuristics
- Heuristic:HKUDS AI Trader Sortino Ratio Capping
- Heuristic:AUTOMATIC1111 Stable diffusion webui VRAM Management Strategies
- Heuristic:Tencent Ncnn FP16 Precision Selection
- Heuristic:Scikit learn Scikit learn Working Memory Tuning
- Heuristic:TobikoData Sqlmesh Fork Worker Tuning
- Heuristic:Eventual Inc Daft Execution Config Tuning
- Heuristic:Huggingface Transformers Label Smoothing Multi Label Warning
- Heuristic:Promptfoo Promptfoo Cache Configuration Tips
- Heuristic:OpenGVLab InternVL Dynamic Resolution Tiling
- Heuristic:Bitsandbytes foundation Bitsandbytes Compute Dtype Mismatch Warning
Environments
- Environment:MarketSquare Robotframework browser Python Runtime
- Environment:FlowiseAI Flowise Docker Environment
- Environment:Testtimescaling Testtimescaling github io GitHub Actions Runner
- Environment:Avhz RustQuant Rust Stable
- Environment:Langchain ai Langgraph Postgres Checkpoint Environment
- Environment:Recommenders team Recommenders Python Core Dependencies
- Environment:Scikit learn Scikit learn Python Runtime Environment
- Environment:Cohere ai Cohere python Python SDK Runtime
- Environment:Roboflow Rf detr Python GPU Environment
- Environment:Huggingface Datasets Image Dependencies