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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:Langchain ai Langchain Adding Partner Integration
- Workflow:Teamcapybara Capybara Custom Selector Definition
- Workflow:ArroyoSystems Arroyo Checkpoint Recovery
- Workflow:Explodinggradients Ragas Metric Prompt Optimization
- Workflow:TobikoData Sqlmesh Model development and testing
- Workflow:Sgl project Sglang Online Serving With OpenAI API
- Workflow:Gretelai Gretel synthetics DGAN Timeseries Generation
- Workflow:LaurentMazare Tch rs LLM Text Generation
- Workflow:Eventual Inc Daft Multimodal AI Batch Inference
- Workflow:Fastai Fastbook Collaborative Filtering
Principles
- Principle:Lucidrains X transformers Belief State Training
- Principle:Allenai Open instruct DPO Experiment Configuration
- Principle:Microsoft Onnxruntime Training Artifact Generation
- Principle:DevExpress Testcafe Tested Application Management
- Principle:Fede1024 Rust rdkafka Message Stream Processing
- Principle:Triton inference server Server Generate API
- Principle:Vllm project Vllm LoRA Request Creation
- Principle:Mlflow Mlflow Experiment Visualization
- Principle:Bitsandbytes foundation Bitsandbytes 8bit Optimizer State Quantization
- Principle:Langgenius Dify ModelManagement
Implementations
- Implementation:Risingwavelabs Risingwave Cargo Workspace Configuration
- Implementation:LMCache LMCache Config
- Implementation:Langchain ai Langgraph StateGraph Compile
- Implementation:Openai Openai python Upload Model
- Implementation:Ucbepic Docetl Directive ReduceGleaning
- Implementation:Turboderp org Exllamav2 Quant Layers
- Implementation:Mlc ai Mlc llm Ministral3 Loader
- Implementation:Microsoft Playwright Electron
- Implementation:Turboderp org Exllamav2 Ext QAttn
- Implementation:MaterializeInc Materialize Service Init
Heuristics
- Heuristic:Microsoft Onnxruntime Graph Optimization Level Selection
- Heuristic:Run llama Llama index Batch Eval Retry Strategy
- Heuristic:Langgenius Dify Celery Queue Separation
- Heuristic:Microsoft Playwright Browser Specific Workarounds
- Heuristic:Liu00222 Open Prompt Injection Attack Effectiveness Hierarchy
- Heuristic:Tensorflow Serving Warning Deprecated CreateTfrtSavedModel Raw
- Heuristic:ThreeSR Awesome Inference Time Scaling Date Parsing Fallback Tip
- Heuristic:ContextualAI HALOs TF32 Matmul Acceleration
- Heuristic:Mlc ai Mlc llm Optimization Level Selection
- Heuristic:Rapidsai Cuml CUDA Kernel Caching
Environments
- Environment:PacktPublishing LLM Engineers Handbook Unsloth Finetuning Environment
- Environment:OpenBMB UltraFeedback Python GPU Environment
- Environment:Mlc ai Mlc llm CUDA GPU Environment
- Environment:NVIDIA TransformerEngine GPU Compute Capability
- Environment:Facebookresearch Habitat lab HITL Runtime Environment
- Environment:OpenHands OpenHands Third Party Runtime Credentials
- Environment:Datahub project Datahub Frontend Build
- Environment:Risingwavelabs Risingwave Docker Deployment Environment
- Environment:FlowiseAI Flowise Queue Mode Environment
- Environment:Apache Hudi Flink Runtime Environment