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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:Bentoml BentoML Bento Build And Containerization
- Workflow:Apache Flink Hybrid Source Switching
- Workflow:PeterL1n BackgroundMattingV2 Realtime webcam matting
- Workflow:Predibase Lorax Server Deployment
- Workflow:LLMBook zh LLMBook zh github io Data Preprocessing Pipeline
- Workflow:Fastai Fastbook Collaborative Filtering
- Workflow:Eventual Inc Daft SQL Query Analytics
- Workflow:Mistralai Client python Text Embeddings
- Workflow:HKUDS AI Trader Agent Decision Loop
- Workflow:Predibase Lorax OpenAI Chat Completion
Principles
- Principle:Lance format Lance Full Text Query Execution
- Principle:Astronomer Astronomer cosmos Cloud Storage Connection Setup
- Principle:Sgl project Sglang HTTP Server Deployment
- Principle:Microsoft Agent framework Agent Specialization
- Principle:Pola rs Polars Horizontal Fold Operations
- Principle:Apache Paimon Scan Planning
- Principle:MaterializeInc Materialize Content Addressed Fingerprinting
- Principle:Bigscience workshop Petals Distributed Model Configuration
- Principle:Mistralai Client python Tool Schema Definition
- Principle:Astronomer Astronomer cosmos Telemetry And Observability
Implementations
- Implementation:Ray project Ray RayRuntime Interface
- Implementation:Anthropics Anthropic sdk python ThinkingConfigParam
- Implementation:Roboflow Rf detr RFDETR Deploy To Roboflow
- Implementation:Neuml Txtai Embeddings Upsert
- Implementation:Open compass VLMEvalKit MathVerse Utils
- Implementation:Pyro ppl Pyro NanMaskedDistributions
- Implementation:Facebookresearch Audiocraft Export pretrained compression model
- Implementation:Speechbrain Speechbrain Create Aishell1Mix From Metadata
- Implementation:DevExpress Testcafe NativeAutomation Entry
- Implementation:Alibaba MNN FlatBuffers IDL Gen PHP
Heuristics
- Heuristic:Ucbepic Docetl Reduce Parallel Fold Tuning
- Heuristic:Huggingface Diffusers Dtype Precision Selection
- Heuristic:Obss Sahi Class Agnostic vs Per Class NMS
- Heuristic:Treeverse LakeFS S3 Multipart Size Constraint
- Heuristic:Protectai Llm guard Lazy Scanner Loading
- Heuristic:Bentoml BentoML Adaptive Batching Tuning
- Heuristic:Apache Spark Warning Deprecated DStream Streaming
- Heuristic:Allenai Open instruct Pre Init Torch Distributed
- Heuristic:Huggingface Alignment handbook QLoRA Learning Rate Scaling
- Heuristic:Marker Inc Korea AutoRAG Deterministic Evaluation Generation
Environments
- Environment:Microsoft DeepSpeedExamples SuperOffload Runtime
- Environment:ChenghaoMou Text dedup Suffix Array External Tools
- Environment:LLMBook zh LLMBook zh github io PyTorch CUDA GPU Environment
- Environment:Mistralai Client python Agents Environment
- Environment:Unstructured IO Unstructured Libmagic
- Environment:ThreeSR Awesome Inference Time Scaling Semantic Scholar API Environment
- Environment:Ggml org Llama cpp Vulkan GPU Environment
- Environment:NVIDIA TransformerEngine Python PyTorch Requirements
- Environment:Kubeflow Kubeflow Git GitHub Environment
- Environment:Getgauge Taiko Chromium Browser