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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:Langchain ai Langchain Chat Model Invocation
- Workflow:AnswerDotAI RAGatouille Document Indexing And Search
- Workflow:Puppeteer Puppeteer PDF Generation
- Workflow:Intel Ipex llm LoRA Finetuning
- Workflow:Googleapis Python genai Multi Turn Chat
- Workflow:Microsoft Agent framework Multi Agent Sequential Orchestration
- Workflow:Apache Airflow Scheduler Operation and Task Execution
- Workflow:Langchain ai Langchain Tool Calling Structured Output
- Workflow:BerriAI Litellm Observability Integration
- Workflow:Trailofbits Fickling Pickle Safety Analysis
Principles
- Principle:Huggingface Transformers Adapter Loading And Switching
- Principle:MaterializeInc Materialize Composition Service Definition
- Principle:CARLA simulator Carla Navigation Agent Architecture
- Principle:Risingwavelabs Risingwave CDC Change Data Capture
- Principle:Ollama Ollama KVCache Abstraction
- Principle:DistrictDataLabs Yellowbrick Knee Point Detection
- Principle:Dagster io Dagster Declarative Automation
- Principle:Cohere ai Cohere python Message Construction
- Principle:DistrictDataLabs Yellowbrick Dataset Loading
- Principle:Confident ai Deepeval Installation and Configuration
Implementations
- Implementation:Openai Whisper Transcribe Timestamp Parsing
- Implementation:Apache Paimon ResourcePaths
- Implementation:Ucbepic Docetl WebSocket Run Pipeline
- Implementation:Google deepmind Mujoco User Objects
- Implementation:EvolvingLMMs Lab Lmms eval Regression Testing
- Implementation:AUTOMATIC1111 Stable diffusion webui ScriptPostprocessingRunner run
- Implementation:Duckdb Duckdb Generate C Api
- Implementation:Hpcaitech ColossalAI ExperienceBuffer Base
- Implementation:Datajuicer Data juicer TextActionFilter
- Implementation:Microsoft Playwright Client Android
Heuristics
- Heuristic:Ggml org Llama cpp Thread Count Tuning
- Heuristic:Ggml org Ggml Gradient Accumulation Batch Sizing
- Heuristic:Dagster io Dagster Mandatory Ruff Formatting
- Heuristic:Run llama Llama index Chunk Size Optimization
- Heuristic:Allenai Open instruct Gradient Clipping Norm
- Heuristic:Huggingface Diffusers VAE Scaling Factors
- Heuristic:TobikoData Sqlmesh Forward Only Safety
- Heuristic:Protectai Llm guard Token Limit Early Guard
- Heuristic:Alibaba MNN Weight Quantization Strategy
- Heuristic:Openai Openai python Retry Backoff Strategy
Environments
- Environment:Bentoml BentoML NVIDIA GPU Resource
- Environment:Hiyouga LLaMA Factory Optional Inference Backends
- Environment:Microsoft Semantic kernel ONNX CUDA Environment
- Environment:Arize ai Phoenix Phoenix Server Runtime
- Environment:Vibrantlabsai Ragas Optional NLP Metrics Environment
- Environment:Haotian liu LLaVA Python CUDA Training Environment
- Environment:Spcl Graph of thoughts Local LLaMA GPU Inference
- Environment:Run llama Llama index Python LlamaIndex Core
- Environment:Mlflow Mlflow GPU System Metrics Environment
- Environment:Google deepmind Dm control Python MuJoCo Runtime