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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:Ggml org Llama cpp HF to GGUF Model Conversion
- Workflow:Triton inference server Server Model Performance Tuning
- Workflow:Kserve Kserve Canary Rollout Deployment
- Workflow:Apache Hudi Docker Demo Setup
- Workflow:Ollama Ollama OpenAI API Compatibility
- Workflow:Kubeflow Pipelines Pipeline Authoring and Compilation
- Workflow:Risingwavelabs Risingwave CDC Data Replication
- Workflow:Duckdb Duckdb Code Generation Pipeline
- Workflow:Openai Evals Running a single eval
- Workflow:Huggingface Trl Direct Preference Optimization
Principles
- Principle:Deepspeedai DeepSpeed Inference Configuration
- Principle:Kornia Kornia ONNX Dependency Setup
- Principle:Allenai Open instruct Model Publishing
- Principle:Avhz RustQuant Interpolation
- Principle:Langgenius Dify Workflow Application Creation
- Principle:PrefectHQ Prefect Asset Materialization
- Principle:Openai Evals Remote Result Storage
- Principle:Dagster io Dagster BI Tool Integration
- Principle:Pytorch Serve Documentation Generation
- Principle:Pola rs Polars SQL Result Collection
Implementations
- Implementation:Kornia Kornia Cauchy Loss
- Implementation:Huggingface Open r1 TrlParser Usage
- Implementation:Microsoft Onnxruntime Numpy Input Construction
- Implementation:Langchain ai Langgraph InMemorySaver Init
- Implementation:Arize ai Phoenix OpenAI Chat Helper
- Implementation:Puppeteer Puppeteer DetectBrowserPlatform
- Implementation:Google deepmind Dm control Variation Distributions
- Implementation:Dotnet Machinelearning FastTree Segment
- Implementation:Pyro ppl Pyro RSA SemanticParsing
- Implementation:Ollama Ollama Auth Sign
Heuristics
- Heuristic:Deepset ai Haystack BM25 Score Scaling
- Heuristic:Langchain ai Langgraph Retry Policy Configuration
- Heuristic:Obss Sahi Warning Deprecated Legacy NMS
- Heuristic:LMCache LMCache Prefix Based Retrieval Pattern
- Heuristic:Google deepmind Dm control Physics Timestep Configuration
- Heuristic:Deepseek ai Janus Bfloat16 Dtype Selection
- Heuristic:Cohere ai Cohere python Tokenizer Cache With TTL
- Heuristic:BerriAI Litellm Token Counting Buffer
- Heuristic:Unslothai Unsloth GGUF Quantization Selection
- Heuristic:Mbzuai oryx Awesome LLM Post training Excel Sheet Name Truncation
Environments
- Environment:Nautechsystems Nautilus trader Databento API Credentials
- Environment:Marker Inc Korea AutoRAG Korean NLP Dependencies
- Environment:Hpcaitech ColossalAI ColossalQA RAG Environment
- Environment:Puppeteer Puppeteer Configuration Environment Variables
- Environment:Alibaba ROLL Python Runtime Environment
- Environment:Sail sg LongSpec Training Environment
- Environment:Nautechsystems Nautilus trader Python Cython Rust Runtime
- Environment:Tensorflow Serving GPU CUDA Environment
- Environment:Sgl project Sglang Prometheus
- Environment:Mlc ai Web llm Node Build Toolchain