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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:Groq Groq python Text Embedding
- Workflow:Huggingface Diffusers Text to Image Inference
- Workflow:Vespa engine Vespa Logging framework initialization
- Workflow:Mlc ai Web llm Web Worker Deployment
- Workflow:Huggingface Optimum Model Export
- Workflow:TobikoData Sqlmesh Plan and apply deployment
- Workflow:Openai Openai node Fine Tuning
- Workflow:Datahub project Datahub Protobuf Schema Ingestion
- Workflow:Interpretml Interpret EBM Model Merging
- Workflow:Groq Groq python Batch Processing
Principles
- Principle:Triton inference server Server Sequence Batching Testing
- Principle:TobikoData Sqlmesh Unit Test Execution
- Principle:Mlc ai Mlc llm Compiled Artifact Validation
- Principle:Langgenius Dify ErrorHandling
- Principle:Princeton nlp SimPO Model and Tokenizer Initialization
- Principle:Google deepmind Mujoco Scene Rendering
- Principle:Tensorflow Serving Remote Predict Op
- Principle:OpenHands OpenHands Sandbox File Operations
- Principle:Ggml org Llama cpp Embedding API
- Principle:Volcengine Verl Dataset Acquisition
Implementations
- Implementation:Ggml org Llama cpp Tokenize Tool
- Implementation:Mlc ai Mlc llm Attach Spec Decode Aux
- Implementation:Ollama Ollama Llama Adapter
- Implementation:Huggingface Optimum RunConfig
- Implementation:Apache Kafka Docker Buildx Create
- Implementation:Run llama Llama index IndexStructType
- Implementation:InternLM Lmdeploy Barrier
- Implementation:Explodinggradients Ragas EvaluatorChain Class
- Implementation:Microsoft LoRA Run QA Beam Search
- Implementation:Scikit learn Scikit learn BenchSAGA
Heuristics
- Heuristic:Microsoft DeepSpeedExamples LoRA Learning Rate Scaling
- Heuristic:Microsoft Semantic kernel Telemetry Log Level Configuration
- Heuristic:Getgauge Taiko Navigation Wait Strategy
- Heuristic:Bigscience workshop Petals Batch Splitting Threshold
- Heuristic:Apache Flink Bin Packing Complexity Guard
- Heuristic:Risingwavelabs Risingwave Memory Cache Eviction Policy
- Heuristic:AnswerDotAI RAGatouille Auto Batch Size For Long Documents
- Heuristic:Alibaba MNN Memory Mode Selection
- Heuristic:Evidentlyai Evidently Drift Detection Thresholds
- Heuristic:Facebookresearch Audiocraft Audio Normalization Strategies
Environments
- Environment:Anthropics Anthropic sdk python Python SDK Core Environment
- Environment:Huggingface Peft GPU Hardware Detection
- Environment:Duckdb Duckdb CMake Build Toolchain
- Environment:LMCache LMCache CUDA GPU Runtime
- Environment:Iterative Dvc Python Runtime
- Environment:Microsoft DeepSpeedExamples RLHF Training Environment
- Environment:Sail sg LongSpec Inference Environment
- Environment:Kserve Kserve Python Runtime
- Environment:Open compass VLMEvalKit API Keys And Credentials
- Environment:Openai Whisper Triton