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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:Infiniflow Ragflow Knowledge Base Document Ingestion
- Workflow:AnswerDotAI RAGatouille ColBERT Training
- Workflow:Cleanlab Cleanlab CleanLearning Robust Training
- Workflow:Microsoft BIPIA Black Box Defense Evaluation
- Workflow:Kserve Kserve InferenceGraph Pipeline
- Workflow:Junyanz Pytorch CycleGAN and pix2pix CycleGAN Training
- Workflow:Lakeraai Pint benchmark Custom System Evaluation
- Workflow:Dagster io Dagster ETL Pipeline
- Workflow:Pola rs Polars Data IO and Format Conversion
- Workflow:Nightwatchjs Nightwatch Programmatic API Usage
Principles
- Principle:Microsoft Autogen Swarm Orchestration
- Principle:OpenBMB UltraFeedback Model Loading
- Principle:TobikoData Sqlmesh Dbt Validation And Testing
- Principle:Apache Spark Application Lifecycle Monitoring
- Principle:FMInference FlexLLMGen Distributed Process Launching
- Principle:Ollama Ollama ML Backend Abstraction
- Principle:Mit han lab Llm awq Checkpoint Preparation
- Principle:Infiniflow Ragflow Search Filtering
- Principle:Tensorflow Tfjs Embedding Representation
- Principle:OpenHands OpenHands User Migration
Implementations
- Implementation:Ollama Ollama MLXRunner Ops
- Implementation:Explodinggradients Ragas PromptUtils Module
- Implementation:Scikit learn Scikit learn DummyClassifier
- Implementation:Haosulab ManiSkill ActionRepeatWrapper
- Implementation:Mlflow Mlflow Genai Evaluate
- Implementation:Langchain ai Langgraph Pregel Debug
- Implementation:Mlc ai Mlc llm Mlc package config
- Implementation:Mlc ai Mlc llm Gen config
- Implementation:Huggingface Peft PeftModel Save Load
- Implementation:Nautechsystems Nautilus trader Supply Chain Security Config
Heuristics
- Heuristic:Anthropics Anthropic sdk python Model Deprecation Awareness
- Heuristic:Google deepmind Dm control Rendering Backend Selection Tips
- Heuristic:Onnx Onnx External Data Path Security
- Heuristic:Pytorch Serve Ampere Tensor Core Optimization
- Heuristic:Mlflow Mlflow Model Signature Inference Tips
- Heuristic:Snorkel team Snorkel LabelModel Mu Eps Clamping
- Heuristic:Deepset ai Haystack Pipeline Deep Copy Safety
- Heuristic:Deepseek ai Janus Bfloat16 Operation Workarounds
- Heuristic:FlowiseAI Flowise Heap Memory Configuration
- Heuristic:Openai Openai node Warning Deprecated Assistants API
Environments
- Environment:Allenai Open instruct Docker Container
- Environment:Openai Openai python Python 3 9 Plus
- Environment:Microsoft Agent framework Core Package Dependencies
- Environment:Bentoml BentoML Triton Inference Server
- Environment:Apache Druid Integration Test Docker
- Environment:Shiyu coder Kronos PyTorch CUDA Environment
- Environment:Mbzuai oryx Awesome LLM Post training Git CLI
- Environment:Vibrantlabsai Ragas LLM Provider Credentials
- Environment:Huggingface Alignment handbook DeepSpeed Multi Node
- Environment:Alibaba ROLL Diffusion Video Environment