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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 Chrome Extension Integration
- Workflow:BerriAI Litellm Fine Tuning Job
- Workflow:Apache Dolphinscheduler RPC Service Communication
- Workflow:Spotify Luigi Database Ingestion Pipeline
- Workflow:NVIDIA NeMo Curator Fuzzy Deduplication
- Workflow:Neuml Txtai Workflow Orchestration
- Workflow:DevExpress Testcafe CI Integration
- Workflow:Truera Trulens LangGraph Agent Evaluation
- Workflow:Anthropics Anthropic sdk python Structured Output Extraction
- Workflow:Apache Airflow Scheduler Operation and Task Execution
Principles
- Principle:Ollama Ollama CLIStartup
- Principle:Datajuicer Data juicer Statistics Key Definition
- Principle:Norrrrrrr lyn WAInjectBench Per File Text Detection
- Principle:Anthropics Anthropic sdk python Token Counting And Batching
- Principle:Online ml River SNARIMAX Forecasting
- Principle:Turboderp org Exllamav2 Layer Normalization
- Principle:PacktPublishing LLM Engineers Handbook AWS IAM Role Provisioning
- Principle:Vespa engine Vespa Container Image Building
- Principle:Langgenius Dify Code Generation
- Principle:Cohere ai Cohere python Message Construction
Implementations
- Implementation:ArroyoSystems Arroyo Impulse Connector
- Implementation:Scikit learn Scikit learn GaussianNB
- Implementation:Openai Openai python Tool Choice MCP
- Implementation:Cleanlab Cleanlab Multilabel Get Label Quality Scores
- Implementation:NVIDIA NeMo Curator Nightly Benchmark Config
- Implementation:Apache Beam InMemoryJobService Run
- Implementation:OpenGVLab InternVL InternVLConfig LLaVA
- Implementation:Kornia Kornia Total Variation Loss
- Implementation:Openai Openai python Response Computer Tool Call Param
- Implementation:Online ml River Anomaly GaussianScorer
Heuristics
- Heuristic:Norrrrrrr lyn WAInjectBench L2 Normalize CLIP Embeddings
- Heuristic:CARLA simulator Carla PID Controller Tuning
- Heuristic:Zai org CogVideo CPU Offload Strategy
- Heuristic:Huggingface Open r1 Distributed Training Configuration
- Heuristic:Haifengl Smile BFGS Convergence Tuning
- Heuristic:Norrrrrrr lyn WAInjectBench Zero Vector Fallback Failed Embeddings
- Heuristic:Neuml Txtai MacOS Stability Workarounds
- Heuristic:Huggingface Diffusers Dtype Precision Selection
- Heuristic:Mlc ai Web llm Service Worker Keep Alive
- Heuristic:Princeton nlp Tree of thought llm Ad Hoc Value Map Scoring
Environments
- Environment:Cypress io Cypress Linux Display Server
- Environment:Snorkel team Snorkel PyTorch
- Environment:Vibrantlabsai Ragas Google Drive Backend Environment
- Environment:Lm sys FastChat GPU CUDA Inference
- Environment:Fastai Fastbook CUDA GPU Environment
- Environment:Unslothai Unsloth Llama Cpp
- Environment:Togethercomputer Together python Fine Tuning Data Requirements
- Environment:Volcengine Verl CUDA GPU Environment
- Environment:Sktime Pytorch forecasting Matplotlib Plotting Dependencies
- Environment:Webdriverio Webdriverio Browser Driver Environment