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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 Semantic Deduplication
- Workflow:Microsoft Onnxruntime On Device Training
- Workflow:ClickHouse ClickHouse Running Stateless Tests
- Workflow:Dagster io Dagster LLM Fine Tuning
- Workflow:Infiniflow Ragflow Agent Workflow Building
- Workflow:MarketSquare Robotframework browser API Testing via Browser
- Workflow:Scikit learn Scikit learn Ensemble Model Building
- Workflow:Spcl Graph of thoughts GoT Sorting Pipeline
- Workflow:Neuml Txtai RAG Pipeline
- Workflow:Zai org CogVideo Video Captioning
Principles
- Principle:AUTOMATIC1111 Stable diffusion webui UI Accessibility
- Principle:Treeverse LakeFS Java SDK Data Models
- Principle:Recommenders team Recommenders Neural Collaborative Filtering
- Principle:Huggingface Optimum Meta Device Initialization
- Principle:Allenai Open instruct Tokenizer Configuration
- Principle:LaurentMazare Tch rs Runtime Configuration
- Principle:Hiyouga LLaMA Factory Kahneman Tversky Optimization
- Principle:LLMBook zh LLMBook zh github io GPTQ Quantization
- Principle:Pyro ppl Pyro Stochastic Optimization
- Principle:Tensorflow Serving Kubernetes Service Query
Implementations
- Implementation:Microsoft Onnxruntime CPU MpiRecv
- Implementation:Ollama Ollama Llama Graph
- Implementation:Kserve Kserve MMS Predictor Detection
- Implementation:Interpretml Interpret PartitionMultiDimensionalTree
- Implementation:Lance format Lance EncodingFormat
- Implementation:Scikit learn Scikit learn FastICA
- Implementation:Apache Druid FilterTable
- Implementation:Elevenlabs Elevenlabs python RealtimeTextToSpeechClient Convert Realtime
- Implementation:Alibaba ROLL I18n Zh Hans Code
- Implementation:NVIDIA NeMo Curator CosmosEmbed1Model
Heuristics
- Heuristic:Elevenlabs Elevenlabs python TTS Model Selection
- Heuristic:Huggingface Transformers Gradient Checkpointing Memory Tradeoff
- Heuristic:Marker Inc Korea AutoRAG Data Format Requirements
- Heuristic:OWASP Www project top 10 for large language model applications Warning Deprecated Markdown To PDF Convert
- Heuristic:Duckdb Duckdb Build Parallelism Tuning
- Heuristic:Mbzuai oryx Awesome LLM Post training Paper Deduplication Via Dict
- Heuristic:Isaac sim IsaacGymEnvs GPU Pipeline Selection
- Heuristic:Langchain ai Langchain Pydantic V2 Configuration Tips
- Heuristic:Microsoft LoRA Warning Deprecated Legacy Examples
- Heuristic:Apache Kafka Log4j Migration Compatibility
Environments
- Environment:Sgl project Sglang CPU Runtime
- Environment:Microsoft Agent framework API Credentials
- Environment:Unstructured IO Unstructured Libmagic
- Environment:Sgl project Sglang Multimodal
- Environment:Protectai Llm guard ONNX Runtime Acceleration
- Environment:Dagster io Dagster PostgreSQL Storage
- Environment:Huggingface Diffusers PyTorch CUDA Runtime
- Environment:DataExpert io Data engineer handbook Statsig API Environment
- Environment:TA Lib Ta lib python TA Lib C Library
- Environment:Interpretml Interpret Python Core Environment