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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:PrefectHQ Prefect AI Data Analyst Agent
- Workflow:Arize ai Phoenix Span Annotation Pipeline
- Workflow:Speechbrain Speechbrain Speech Separation Training
- Workflow:Cohere ai Cohere python Chat Completion
- Workflow:Spcl Graph of thoughts GoT Keyword Counting Pipeline
- Workflow:PrefectHQ Prefect Per Worker Task Concurrency
- Workflow:Roboflow Rf detr Object Detection Inference
- Workflow:Openai Openai agents python Human In The Loop Approval
- Workflow:Promptfoo Promptfoo CI CD Integration
- Workflow:NVIDIA TransformerEngine Accelerate HF Gemma With TE
Principles
- Principle:Apache Spark Container Image Build
- Principle:Togethercomputer Together python File Upload
- Principle:Ollama Ollama Base Model Resolution
- Principle:Run llama Llama index Evaluation Dataset Generation
- Principle:Huggingface Datatrove C4 Quality Filtering
- Principle:Spcl Graph of thoughts Document Merging Prompt Design
- Principle:DistrictDataLabs Yellowbrick Classification Report Visualization
- Principle:Langgenius Dify Node Graph Composition
- Principle:Huggingface Datatrove FastText Classification Filtering
- Principle:Avhz RustQuant Root Finding
Implementations
- Implementation:Kserve Kserve InferenceServiceReconciler
- Implementation:Vllm project Vllm DNNL Kernels
- Implementation:Avhz RustQuant Uniform Distribution
- Implementation:Ray project Ray Repro CI Tool
- Implementation:Microsoft Onnxruntime CUDA ClipGradNorm
- Implementation:Online ml River Compose Renamer
- Implementation:Mlc ai Mlc llm GPT BigCode Model
- Implementation:Google deepmind Mujoco Engine Vis Visualize
- Implementation:NVIDIA DALI Paddle Training Config
- Implementation:FlowiseAI Flowise DeleteDocStoreDialog
Heuristics
- Heuristic:Hpcaitech ColossalAI Warning Deprecated Ray Detached PPO
- Heuristic:EvolvingLMMs Lab Lmms eval Memory Cleanup After Inference
- Heuristic:Run llama Llama index Embedding Batch Size Tuning
- Heuristic:Google deepmind Dm control MJCF Model Composition Gotchas
- Heuristic:Ucbepic Docetl Rate Limit Exponential Backoff
- Heuristic:Online ml River SNARIMAX Default Regressor Pipeline
- Heuristic:Ggml org Ggml Quantization Type Selection
- Heuristic:Openai Whisper Log Probability Threshold
- Heuristic:FMInference FlexLLMGen Weight Compression 4bit
- Heuristic:Apache Airflow Memory Management Tips
Environments
- Environment:Huggingface Open r1 vLLM Server
- Environment:Sgl project Sglang ROCm
- Environment:Pyro ppl Pyro Visualization Tools
- Environment:Googleapis Python genai Gemini API Key Authentication
- Environment:Turboderp org Exllamav2 CUDA GPU Runtime
- Environment:TA Lib Ta lib python Python Build Environment
- Environment:Ray project Ray CI Build Matrix Environment
- Environment:Unstructured IO Unstructured GitHub Actions
- Environment:Unslothai Unsloth Python Transformers
- Environment:LMCache LMCache Python Runtime