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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:Mlc ai Web llm Basic Chat Completion
- Workflow:Huggingface Alignment handbook Multi Stage Post Training
- Workflow:OpenHands OpenHands GitHub Webhook Event Processing
- Workflow:NVIDIA DALI Custom Operator Development
- Workflow:OpenHands OpenHands Conversation Lifecycle Management
- Workflow:Huggingface Diffusers ControlNet Guided Generation
- Workflow:SeleniumHQ Selenium Contributor Development Workflow
- Workflow:Mlc ai Mlc llm REST API Serving
- Workflow:Microsoft Onnxruntime Nodejs Inference
- Workflow:Alibaba ROLL Agentic RL Training Pipeline
Principles
- Principle:Dotnet Machinelearning Latent Dirichlet Allocation
- Principle:Risingwavelabs Risingwave Sink Data Delivery
- Principle:Google deepmind Mujoco Rendering Resource Cleanup
- Principle:Cohere ai Cohere python Batch Embedding Jobs
- Principle:Langgenius Dify Deployment and API Access
- Principle:Scikit learn Scikit learn Column Composition
- Principle:Fede1024 Rust rdkafka Transactional Message Production
- Principle:Apache Flink Source Checkpoint Recovery
- Principle:Triton inference server Server Container Compose Build
- Principle:Deepseek ai Janus Prompt Formatting for Generation
Implementations
- Implementation:Facebookresearch Habitat lab VER RolloutStorage
- Implementation:Mit han lab Llm awq WQLinear from linear
- Implementation:Trailofbits Fickling Find File Properties
- Implementation:Ollama Ollama XCreate Quantize
- Implementation:Apache Shardingsphere VersionNodePath Resolve
- Implementation:Huggingface Datatrove InspectData
- Implementation:Openai Openai python Response Completed Webhook
- Implementation:Farama Foundation Gymnasium Performance Benchmark
- Implementation:LMCache LMCache Connector V1
- Implementation:Kornia Kornia Integral Image
Heuristics
- Heuristic:Huggingface Alignment handbook QLoRA Learning Rate Scaling
- Heuristic:Apache Airflow Variable Access Pattern
- Heuristic:Allenai Open instruct NCCL CUMEM Disable
- Heuristic:Spcl Graph of thoughts Budget Gated Benchmark Execution
- Heuristic:MaterializeInc Materialize Dbt Transaction Disable
- Heuristic:Iterative Dvc Run Cache Restoration Strategy
- Heuristic:Apache Beam Lock Contention Batching
- Heuristic:Langchain ai Langgraph Stream Mode Selection
- Heuristic:Nightwatchjs Nightwatch Timeout And Retry Tuning
- Heuristic:ContextualAI HALOs LoRA Merge At Save
Environments
- Environment:Huggingface Trl DeepSpeed Environment
- Environment:Tencent Ncnn PyTorch Environment
- Environment:Sgl project Sglang ROCm
- Environment:DataTalksClub Data engineering zoomcamp PySpark Batch Environment
- Environment:Mlc ai Web llm WebGPU Browser Runtime
- Environment:ClickHouse ClickHouse Systemd Runtime
- Environment:Gretelai Gretel synthetics PyTorch CUDA Environment
- Environment:Norrrrrrr lyn WAInjectBench Conda Python 39 CUDA Environment
- Environment:Recommenders team Recommenders Python Core Dependencies
- Environment:Facebookresearch Habitat lab CUDA GPU Training Environment