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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:Facebookresearch Habitat lab Rearrangement HRL Training
- Workflow:Kubeflow Kubeflow Release Management
- Workflow:Guardrails ai Guardrails Streaming Validation
- Workflow:Googleapis Python genai Context Caching
- Workflow:Dagster io Dagster RAG Pipeline
- Workflow:Elevenlabs Elevenlabs python Speech to Text Transcription
- Workflow:VainF Torch Pruning Sparse Training Pruning
- Workflow:Microsoft Autogen Swarm Agent Handoff
- Workflow:Webdriverio Webdriverio Custom Plugin Development
- Workflow:Apache Paimon Distributed Processing With Ray
Principles
- Principle:Microsoft DeepSpeedExamples Multimodal Model Composition
- Principle:Iterative Dvc Workspace Checkout
- Principle:Confident ai Deepeval Batch Evaluation Execution
- Principle:Helicone Helicone Asynchronous Log Queuing
- Principle:OWASP Www project top 10 for large language model applications Style Guide Conformance
- Principle:Apache Paimon Global Index Scan Building
- Principle:Online ml River Online Rule Learning
- Principle:Microsoft DeepSpeedExamples RLHF Data Preparation
- Principle:Farama Foundation Gymnasium Asynchronous Vector Execution
- Principle:Apache Flink Compaction Request Triggering
Implementations
- Implementation:Apache Airflow Timezone Utilities
- Implementation:Run llama Llama index IndexStructType
- Implementation:NVIDIA TransformerEngine Ops Fused Backward Add RMSNorm
- Implementation:Lance format Lance JsonUdf
- Implementation:Open compass VLMEvalKit HFChatModel
- Implementation:Mage ai Mage ai Source Write Records
- Implementation:ClickHouse ClickHouse Musl Lgammal
- Implementation:Explodinggradients Ragas ContextPrecision Metric
- Implementation:Ollama Ollama MLXRunner Server
- Implementation:Kserve Kserve Prediction Request Protocol
Heuristics
- Heuristic:Langgenius Dify Workflow Draft Hash Sync
- Heuristic:Microsoft Agent framework Function Invocation Defaults
- Heuristic:Vibrantlabsai Ragas Temperature Sampling Strategy
- Heuristic:Spotify Luigi Marker Table Idempotency
- Heuristic:Tensorflow Tfjs WASM Cross Origin Isolation
- Heuristic:Microsoft DeepSpeedExamples RLHF Stability Constraints
- Heuristic:Ollama Ollama Download Retry Strategy
- Heuristic:Mit han lab Llm awq GPU Memory Management Patterns
- Heuristic:Microsoft Onnxruntime Convergence Debugging Tips
- Heuristic:MaterializeInc Materialize Dbt Transaction Disable
Environments
- Environment:Princeton nlp SimPO VLLM Inference
- Environment:Anthropics Anthropic sdk python Python SDK Core Environment
- Environment:Togethercomputer Together python API Credentials
- Environment:Neuml Txtai API Server Configuration
- Environment:Run llama Llama index Python LlamaIndex Core
- Environment:FlagOpen FlagEmbedding Python PyTorch Environment
- Environment:Vibrantlabsai Ragas Python 3 9 Core Environment
- Environment:Langchain ai Langgraph Docker Deployment Environment
- Environment:NVIDIA NeMo Curator RAPIDS GPU Stack
- Environment:Infiniflow Ragflow GPU CUDA Environment