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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:Huggingface Transformers Model Quantization
- Workflow:Hpcaitech ColossalAI DPO Alignment
- Workflow:Spotify Luigi Spark Processing Pipeline
- Workflow:TobikoData Sqlmesh Environment management
- Workflow:DataExpert io Data engineer handbook Flink Kafka Streaming Pipeline
- Workflow:Mlfoundations Open flamingo Model Creation And Inference
- Workflow:Neuml Txtai Agent Execution
- Workflow:Ollama Ollama Model Pull And Run
- Workflow:Deepset ai Haystack Extractive QA Pipeline
- Workflow:Dagster io Dagster LLM Fine Tuning
Principles
- Principle:Webdriverio Webdriverio ElementChaining
- Principle:Apache Airflow DAG Deployment
- Principle:ContextualAI HALOs Reward Model Configuration
- Principle:Sdv dev SDV Logging Configuration Management
- Principle:Unslothai Unsloth MoE Grouped GEMM
- Principle:BerriAI Litellm Database Setup
- Principle:Evidentlyai Evidently Data Drift Detection
- Principle:Microsoft Semantic kernel OpenAPI Test Fixtures
- Principle:Openclaw Openclaw Extension Configuration
- Principle:Allenai Open instruct GRPO Loss
Implementations
- Implementation:Openai Openai python Response Output Item Type
- Implementation:Google deepmind Dm control Composer Environment For Locomotion
- Implementation:LaurentMazare Tch rs Llama New
- Implementation:Microsoft LoRA Run CLM
- Implementation:Pyro ppl Pyro Distributions Init
- Implementation:Facebookresearch Habitat lab Env integration testing
- Implementation:Infiniflow Ragflow MetadataManageModal Component
- Implementation:Microsoft Playwright BidiKeyboard
- Implementation:Scikit learn contrib Imbalanced learn EasyEnsembleClassifier
- Implementation:ArroyoSystems Arroyo Json Form
Heuristics
- Heuristic:Vibrantlabsai Ragas Analytics Silent Failure Pattern
- Heuristic:Ollama Ollama Download Retry Strategy
- Heuristic:Puppeteer Puppeteer Headless Linux Requirements
- Heuristic:Lucidrains X transformers Gradient Clipping And Accumulation
- Heuristic:Unslothai Unsloth GGUF Quantization Selection
- Heuristic:ThreeSR Awesome Inference Time Scaling Date Parsing Fallback Tip
- Heuristic:Deepset ai Haystack Pipeline Max Runs Safety Limit
- Heuristic:CarperAI Trlx PEFT LoRA Integration
- Heuristic:Trailofbits Fickling Allowlist Maintenance
- Heuristic:Huggingface Alignment handbook DDP Bias Buffer Ignore
Environments
- Environment:Bentoml BentoML Triton Inference Server
- Environment:Spcl Graph of thoughts Python 3 8 Runtime
- Environment:Microsoft Semantic kernel OpenAI API Environment
- Environment:Bentoml BentoML Python Runtime
- Environment:Infiniflow Ragflow Python Runtime
- Environment:Lm sys FastChat LoRA QLoRA Training Environment
- Environment:Truera Trulens OpenAI Provider Environment
- Environment:OpenRLHF OpenRLHF DeepSpeed Environment
- Environment:Getgauge Taiko Linux System Libraries
- Environment:Protectai Modelscan Python Core Runtime