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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:BerriAI Litellm SDK Completion
- Workflow:Microsoft DeepSpeedExamples SuperOffload Finetuning
- Workflow:Speechbrain Speechbrain Speech Separation Training
- Workflow:OpenRLHF OpenRLHF Rejection Sampling
- Workflow:Microsoft Semantic kernel Kernel Setup And Chat Completion
- Workflow:Evidentlyai Evidently Text Data Quality Evaluation
- Workflow:Apache Airflow Provider Distribution Development
- Workflow:Microsoft Playwright Network mocking and interception
- Workflow:PrefectHQ Prefect Web Scraping Pipeline
- Workflow:Microsoft Onnxruntime ORTModule Training
Principles
- Principle:LaurentMazare Tch rs Python Tensor Interop
- Principle:Datajuicer Data juicer Data Export
- Principle:DistrictDataLabs Yellowbrick Knee Point Detection
- Principle:Mlflow Mlflow Version Detection and Package Identity
- Principle:Mlc ai Web llm Dependency Version Pinning
- Principle:Openai Openai python Chat Response Processing
- Principle:Huggingface Transformers Pipeline Instantiation
- Principle:Pyro ppl Pyro MCMC Numerical Methods
- Principle:Alibaba ROLL Diffusion Worker Initialization
- Principle:BerriAI Litellm Callback Registration
Implementations
- Implementation:Evidentlyai Evidently TextEvals Preset
- Implementation:CARLA simulator Carla VehicleAckermannControl
- Implementation:Microsoft Onnxruntime OnnxModelMetadata
- Implementation:Deepset ai Haystack TransformersSimilarityRanker
- Implementation:Shiyu coder Kronos TopkDropoutStrategy Usage
- Implementation:Openai Evals HHHSolver
- Implementation:Open compass VLMEvalKit SimpleVQA
- Implementation:CrewAIInc CrewAI Brave Search Tool
- Implementation:Run llama Llama index SQLDatabase
- Implementation:EvolvingLMMs Lab Lmms eval EmbSpatial Utils
Heuristics
- Heuristic:Lakeraai Pint benchmark Use Balanced Accuracy For Imbalanced Datasets
- Heuristic:Langfuse Langfuse Eval Loop Prevention
- Heuristic:Tencent Ncnn Thread Count Tuning
- Heuristic:Tensorflow Serving Servable Handle Lifetime
- Heuristic:Apache Dolphinscheduler Failover Marker TTL
- Heuristic:Triton inference server Server Documentation Standards
- Heuristic:SeldonIO Seldon core Kafka Partition Throughput Tip
- Heuristic:Nightwatchjs Nightwatch Warning Deprecated API Members
- Heuristic:PacktPublishing LLM Engineers Handbook RAG Retrieval Parameters
- Heuristic:Lucidrains X transformers MaskGIT Generation Tuning
Environments
- Environment:Arize ai Phoenix Frontend Node 22
- Environment:Dotnet Machinelearning OneDal Acceleration
- Environment:Infiniflow Ragflow Data Source Credentials
- Environment:FMInference FlexLLMGen HuggingFace Access
- Environment:Recommenders team Recommenders Spark Environment
- Environment:Haifengl Smile Java 25 Runtime
- Environment:Run llama Llama index Fsspec Remote Storage
- Environment:Dagster io Dagster DAGSTER HOME Configuration
- Environment:SeldonIO Seldon core GPU Inference Environment
- Environment:Unstructured IO Unstructured All Docs