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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:SeleniumHQ Selenium Page Object Pattern Testing
- Workflow:LaurentMazare Tch rs MNIST Training
- Workflow:DataTalksClub Data engineering zoomcamp Kestra ETL Pipeline
- Workflow:Ray project Ray Serve Deployment
- Workflow:TA Lib Ta lib python Installation And Setup
- Workflow:Liu00222 Open Prompt Injection Prompt Injection Experiment
- Workflow:Apache Spark Application Submission
- Workflow:Mage ai Mage ai SQL Database Source Extraction
- Workflow:SqueezeAILab ETS ETS Experiment Pipeline
- Workflow:Apache Shardingsphere Metadata DDL Refresh
Principles
- Principle:Huggingface Transformers Data Loading
- Principle:Openai Openai agents python Execution Resumption
- Principle:FMInference FlexLLMGen HELM Tokenizer Adaptation
- Principle:Apache Druid Streaming Source Configuration
- Principle:Huggingface Trl Reward Model Training
- Principle:Teamcapybara Capybara File Uploads
- Principle:MarketSquare Robotframework browser Navigation Aware Waiting
- Principle:Promptfoo Promptfoo Application Logging
- Principle:Turboderp org Exllamav2 Sampling Configuration
- Principle:Heibaiying BigData Notes Flink State Management
Implementations
- Implementation:EvolvingLMMs Lab Lmms eval Lmms Base Class
- Implementation:Apache Paimon Range
- Implementation:Infiniflow Ragflow Canvas Run
- Implementation:Ucbepic Docetl Dataset Debate Gleaning
- Implementation:SeleniumHQ Selenium Closure UserAgent Browser
- Implementation:LMCache LMCache Redis Adapter
- Implementation:Intel Ipex llm Lora Finetune CPU
- Implementation:AUTOMATIC1111 Stable diffusion webui Aspect Ratio Overlay
- Implementation:Huggingface Peft BOFTConfig
- Implementation:Haotian liu LLaVA Process Images
Heuristics
- Heuristic:Testtimescaling Testtimescaling github io Hardcoded IDs vs Registry
- Heuristic:Mlflow Mlflow Nested Run Organization
- Heuristic:Arize ai Phoenix Warning Deprecated HallucinationEvaluator
- Heuristic:HKUDS AI Trader A Share Lot Size Rule
- Heuristic:Obss Sahi Match Threshold Tuning
- Heuristic:Marker Inc Korea AutoRAG GPU Memory Cleanup Pattern
- Heuristic:Anthropics Anthropic sdk python Adaptive Thinking Over Enabled
- Heuristic:DevExpress Testcafe Video Encoding Defaults
- Heuristic:Allenai Open instruct Gradient Clipping Norm
- Heuristic:Huggingface Optimum Version Conditional Behavior
Environments
- Environment:Vespa engine Vespa Cosign Sigstore Signing
- Environment:Intel Ipex llm RAG LlamaIndex Environment
- Environment:Huggingface Alignment handbook Python Transformers
- Environment:DataExpert io Data engineer handbook Spark Iceberg Docker Environment
- Environment:Nautechsystems Nautilus trader Arrow Parquet Serialization
- Environment:EvolvingLMMs Lab Lmms eval GPU Compute Environment
- Environment:Facebookresearch Audiocraft Python PyTorch CUDA Environment
- Environment:Sgl project Sglang OpenAI
- Environment:Sgl project Sglang Kubernetes
- Environment:Explodinggradients Ragas Optional Metrics Environment