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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:Puppeteer Puppeteer Page Screenshot Capture
- Workflow:Microsoft BIPIA Black Box Defense Evaluation
- Workflow:CrewAIInc CrewAI Knowledge RAG Pipeline
- Workflow:Confident ai Deepeval Synthetic Dataset Generation
- Workflow:Openai Evals Running a single eval
- Workflow:Apache Hudi Flink Schema Evolution
- Workflow:Haosulab ManiSkill Motion Planning Demo Generation
- Workflow:Huggingface Alignment handbook SFT DPO Alignment Pipeline
- Workflow:Fastai Fastbook Collaborative Filtering
- Workflow:EvolvingLMMs Lab Lmms eval End to End Evaluation
Principles
- Principle:Sktime Pytorch forecasting Dense Encoder Decoder
- Principle:Nautechsystems Nautilus trader Instrument Specification
- Principle:Anthropics Anthropic sdk python Message Request With Tools
- Principle:Duckdb Duckdb LZ4 Block Compression
- Principle:Kubeflow Kubeflow Component Deployment
- Principle:MarketSquare Robotframework browser Browser Binary Installation
- Principle:Vllm project Vllm Constrained Generation
- Principle:AUTOMATIC1111 Stable diffusion webui Latent Diffusion Pipeline
- Principle:Sktime Pytorch forecasting Baseline Forecasting
- Principle:Huggingface Datasets Generator Dataset Building
Implementations
- Implementation:Interpretml Interpret Debug Utilities
- Implementation:Langchain ai Langgraph StoreBatchOperations
- Implementation:Datahub project Datahub MergeIntoCommandInputDatasetBuilder
- Implementation:Open compass VLMEvalKit Video MMLU CAP
- Implementation:Ucbepic Docetl GatherOperation Execute
- Implementation:Elevenlabs Elevenlabs python ConversationConfigClientOverrideConfigInput
- Implementation:Allenai Open instruct GRPO ExperimentConfig
- Implementation:Webdriverio Webdriverio AccessibilityHandler Class
- Implementation:Avhz RustQuant Poisson Distribution
- Implementation:Liu00222 Open Prompt Injection compute conditional probability
Heuristics
- Heuristic:Treeverse LakeFS Retry Backoff Configuration
- Heuristic:Fastai Fastbook Learning Rate Finder Rule
- Heuristic:Apache Spark Serialization Optimization
- Heuristic:Neuml Txtai Thread Safety Constraints
- Heuristic:Nightwatchjs Nightwatch Node 17 DNS IPv4 Workaround
- Heuristic:Hpcaitech ColossalAI Flash Attention Dtype Restriction
- Heuristic:Mit han lab Llm awq AWQ Grid Search Tuning
- Heuristic:Datajuicer Data juicer Partition Size Tuning
- Heuristic:Huggingface Alignment handbook QLoRA Learning Rate Scaling
- Heuristic:Duckdb Duckdb Test Development Guidelines
Environments
- Environment:Dotnet Machinelearning TorchSharp Environment
- Environment:Huggingface Transformers PEFT Adapter Env
- Environment:Huggingface Diffusers Attention Backends
- Environment:DistrictDataLabs Yellowbrick Optional NLP Dependencies
- Environment:OpenGVLab InternVL PEFT LoRA
- Environment:Huggingface Open r1 CUDA Environment
- Environment:Fastai Fastbook Python FastAI Environment
- Environment:LMCache LMCache VLLM Serving Engine
- Environment:Arize ai Phoenix LLM Provider SDKs
- Environment:Interpretml Interpret Visualization Environment