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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:Onnx Onnx Model Composition
- Workflow:Mlc ai Web llm Text Embeddings And RAG
- Workflow:Apache Dolphinscheduler Datasource Connection Management
- Workflow:Confident ai Deepeval LLM Tracing and Observability
- Workflow:Pyro ppl Pyro Discrete Enumeration
- Workflow:Farama Foundation Gymnasium Vectorized Environment Training
- Workflow:CarperAI Trlx PPO Sentiment Training
- Workflow:Diagram of thought Diagram of thought DoT Iterative Reasoning
- Workflow:Apache Flink Async Sink Lifecycle
- Workflow:Apache Spark Standalone Cluster Deployment
Principles
- Principle:Volcengine Verl Sandbox Code Execution
- Principle:AUTOMATIC1111 Stable diffusion webui Merge output options
- Principle:Microsoft LoRA HF Trainer LoRA Training
- Principle:Triton inference server Server Observability Testing
- Principle:Kubeflow Kubeflow Pull Request Submission
- Principle:Spcl Graph of thoughts Sorting Prompt Design
- Principle:Online ml River Drift Adaptive Evaluation
- Principle:SeldonIO Seldon core Pipeline Deployment Execution
- Principle:Helicone Helicone Dashboard Visualization
- Principle:Liu00222 Open Prompt Injection Causal Influence Analysis
Implementations
- Implementation:NVIDIA TransformerEngine PyTorch Baseline Model
- Implementation:Intel Ipex llm DPOTrainer Usage
- Implementation:Google deepmind Mujoco WASM Structs
- Implementation:Apache Druid Aggregate Macro
- Implementation:Openai Openai python Completions Resource
- Implementation:Microsoft Agent framework Response Handler Decorator
- Implementation:Farama Foundation Gymnasium Step Api Compatibility
- Implementation:Apache Shardingsphere ShadowAlgorithmDeterminer IsShadow
- Implementation:Mage ai Mage ai GitHub Actions GCP Cloud Run Deploy
- Implementation:Helicone Helicone GetMappedContent
Heuristics
- Heuristic:Microsoft Onnxruntime Memory Recomputation Optimization
- Heuristic:Spcl Graph of thoughts Backoff Retry On API Errors
- Heuristic:Mlc ai Mlc llm BLAS Dispatch Decision
- Heuristic:Onnx Onnx Opset Version Selection
- Heuristic:Norrrrrrr lyn WAInjectBench LoRA Rank Alpha Selection
- Heuristic:Neuml Txtai MacOS OpenMP Workaround
- Heuristic:Microsoft Onnxruntime Threading Configuration Tips
- Heuristic:Infiniflow Ragflow Hybrid Search Fallback Strategy
- Heuristic:Online ml River HST Feature Scaling Requirement
- Heuristic:Alibaba ROLL Reward Clipping Normalization
Environments
- Environment:Sgl project Sglang ROCm
- Environment:Hiyouga LLaMA Factory Distributed Training Environment
- Environment:Intel Ipex llm vLLM XPU Serving Environment
- Environment:OpenRLHF OpenRLHF Ray Distributed Environment
- Environment:Google deepmind Dm control GLFW Desktop Rendering
- Environment:Truera Trulens OpenAI Provider Environment
- Environment:Google research Deduplicate text datasets Python HuggingFace Environment
- Environment:Getgauge Taiko Linux System Libraries
- Environment:NVIDIA NeMo Curator Video Codec Stack
- Environment:Apache Kafka Committer Tools Environment