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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:NVIDIA NeMo Curator Fuzzy Deduplication
- Workflow:CrewAIInc CrewAI Custom Tool Integration
- Workflow:ChenghaoMou Text dedup Suffix Array Deduplication
- Workflow:FlagOpen FlagEmbedding Embedder Inference
- Workflow:Sdv dev SDV Sequential data synthesis
- Workflow:VainF Torch Pruning CNN Pruning
- Workflow:Huggingface Datatrove Synthetic Data Generation
- Workflow:Microsoft Playwright Codegen test recording
- Workflow:Run llama Llama index Evaluation Pipeline
- Workflow:TobikoData Sqlmesh Github CICD automation
Principles
- Principle:Langgenius Dify Embedding Indexing Configuration
- Principle:Ggml org Llama cpp Parallel Request Handling
- Principle:Axolotl ai cloud Axolotl Experiment Tracking Integration
- Principle:Protectai Llm guard Toxicity Detection
- Principle:ThreeSR Awesome Inference Time Scaling Git Automation
- Principle:SeldonIO Seldon core Pipeline Deployment Execution
- Principle:Dotnet Machinelearning Experiment Execution
- Principle:DataExpert io Data engineer handbook Kafka Source Table Definition
- Principle:Openclaw Openclaw Skill Loading
- Principle:Online ml River Time Series Stream Loading
Implementations
- Implementation:Bentoml BentoML GrpcClient
- Implementation:Tensorflow Tfjs Regularizers
- Implementation:Explodinggradients Ragas NoiseSensitivity Metric
- Implementation:Ggml org Llama cpp Common Utils
- Implementation:Google deepmind Mujoco mjv freeScene mjr freeContext
- Implementation:LMCache LMCache Standalone Starter
- Implementation:Teamcapybara Capybara Node Document Matchers
- Implementation:Ucbepic Docetl Directive DocSummarization
- Implementation:Puppeteer Puppeteer LaunchOptions Configuration
- Implementation:LaurentMazare Tch rs Torch Jit Trace
Heuristics
- Heuristic:Mistralai Client python Tool Docstring Requirement
- Heuristic:FlagOpen FlagEmbedding Length Sorted Batching
- Heuristic:DevExpress Testcafe CDP Performance Monitoring
- Heuristic:Google deepmind Mujoco Solver Selection Guide
- Heuristic:Vibrantlabsai Ragas Nest Asyncio Uvloop Compatibility
- Heuristic:Farama Foundation Gymnasium Shared Memory Vector Env Optimization
- Heuristic:Microsoft Autogen Graph Validation Rules
- Heuristic:Cohere ai Cohere python Tokenizer Cache With TTL
- Heuristic:PacktPublishing LLM Engineers Handbook RAG Retrieval Parameters
- Heuristic:Onnx Onnx Warning Deprecated InlineSelectedFunctions
Environments
- Environment:Fastai Fastbook CUDA GPU Environment
- Environment:Huggingface Datasets SQL Dependencies
- Environment:Helicone Helicone Cloudflare Workers Runtime
- Environment:Truera Trulens Python Core Environment
- Environment:Webdriverio Webdriverio Node Runtime Environment
- Environment:DevExpress Testcafe Node Runtime
- Environment:DataExpert io Data engineer handbook Python Development Environment
- Environment:Langchain ai Langchain LangSmith Tracing Config
- Environment:Snorkel team Snorkel SpaCy NLP
- Environment:Apache Airflow Python Runtime Environment