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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:Microsoft Agent framework Declarative Agent Definition
- Workflow:Anthropics Anthropic sdk python Basic Message Conversation
- Workflow:Openai Openai agents python Guardrails Secured Agent
- Workflow:Fastai Fastbook Image Classification
- Workflow:Explodinggradients Ragas RAG Evaluation
- Workflow:Dagster io Dagster Modal Serverless Pipeline
- Workflow:Neuml Txtai Semantic Search Pipeline
- Workflow:Openai CLIP Prompt engineered classification
- Workflow:Langfuse Langfuse Otel ingestion pipeline
- Workflow:FlagOpen FlagEmbedding Benchmark Evaluation
Principles
- Principle:Alibaba MNN Neural Network Inference
- Principle:Hiyouga LLaMA Factory Supervised Fine Tuning
- Principle:Junyanz Pytorch CycleGAN and pix2pix Pretrained Model Download
- Principle:Hpcaitech ColossalAI Benchmark Metric Computation
- Principle:OpenHands OpenHands Sandbox Command Execution
- Principle:Huggingface Diffusers Prior Preservation
- Principle:Microsoft Onnxruntime ONNX Input Schema Definition
- Principle:AnswerDotAI RAGatouille Model Training
- Principle:Liu00222 Open Prompt Injection Input Preprocessing
- Principle:FMInference FlexLLMGen HELM Batch Construction
Implementations
- Implementation:Ollama Ollama Format Time
- Implementation:SeleniumHQ Selenium Router And LocalDistributor
- Implementation:Openai Openai python Shared Responses Model
- Implementation:Turboderp org Exllamav2 Sampling H
- Implementation:SeldonIO Seldon core Seldon Pipeline Load And Status
- Implementation:Microsoft Onnxruntime NodeInfo
- Implementation:ArroyoSystems Arroyo Kinesis Connector
- Implementation:Mlc ai Mlc llm Ministral3 Model
- Implementation:NVIDIA NeMo Curator DecoderUtils
- Implementation:Langgenius Dify UseCommon
Heuristics
- Heuristic:Openai Openai python Retry Backoff Strategy
- Heuristic:Protectai Modelscan Exit Code Conventions
- Heuristic:MaterializeInc Materialize CI Retry Strategies
- Heuristic:Interpretml Interpret Categorical Float Conversion Gotcha
- Heuristic:Cohere ai Cohere python HTTP Retry Backoff Strategy
- Heuristic:Microsoft Agent framework PowerFx Python Version Limit
- Heuristic:Scikit learn contrib Imbalanced learn KNeighbors Selection Tips
- Heuristic:Bigscience workshop Petals Batch Splitting Threshold
- Heuristic:Risingwavelabs Risingwave Stream Chunk Sizing
- Heuristic:Dagster io Dagster Retry Strategy Configuration
Environments
- Environment:PacktPublishing LLM Engineers Handbook Unsloth Finetuning Environment
- Environment:Facebookresearch Habitat lab Python 3 9 Core Dependencies
- Environment:Microsoft Playwright Platform Support Environment
- Environment:Getgauge Taiko Linux System Libraries
- Environment:NVIDIA NeMo Aligner NeMo Framework GPU Environment
- Environment:Hiyouga LLaMA Factory FP8 Training Environment
- Environment:Alibaba MNN HuggingFace Ecosystem Environment
- Environment:Kserve Kserve Leader Worker Set
- Environment:Cohere ai Cohere python Python SDK Runtime
- Environment:Predibase Lorax Model Source Credentials