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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:Microsoft Agent framework Agent With Tool Approval
- Workflow:Promptfoo Promptfoo Custom Provider Integration
- Workflow:Bitsandbytes foundation Bitsandbytes 4bit QLoRA Inference
- Workflow:Avdvg InjectGuard Vector Similarity Detection Pipeline
- Workflow:Bentoml BentoML Model Store Management
- Workflow:Tensorflow Tfjs Sequential Model Training
- Workflow:Helicone Helicone Local Development Setup
- Workflow:ClickHouse ClickHouse Contributing Pull Request
- Workflow:Getgauge Taiko Network Request Interception
- Workflow:Haosulab ManiSkill Motion Planning Demo Generation
Principles
- Principle:Turboderp org Exllamav2 LoRA Generator Configuration
- Principle:Huggingface Diffusers Prompt Encoding
- Principle:Onnx Onnx Shape Inference
- Principle:Kubeflow Pipelines Kubernetes Cluster Preparation
- Principle:Apache Spark K8s Container Lifecycle
- Principle:Danijar Dreamerv3 Distributed Environment Execution
- Principle:FMInference FlexLLMGen Group Quantization Configuration
- Principle:Cleanlab Cleanlab Span Classification Issue Detection
- Principle:MarketSquare Robotframework browser API Test Context Setup
- Principle:Ggml org Llama cpp Input Provenance Tracking
Implementations
- Implementation:Apache Shardingsphere ContextManagerBuilderParameter Constructor
- Implementation:AnswerDotAI RAGatouille Export To Vespa ONNX
- Implementation:NVIDIA DALI AccessOrder
- Implementation:Hiyouga LLaMA Factory WebUI Locales
- Implementation:Infiniflow Ragflow MCPToolCallSession
- Implementation:NVIDIA NeMo Aligner RewardModelServer Run
- Implementation:Kubeflow Pipelines GPU Resource Request Sample
- Implementation:Openai Openai python Eval Retrieve Response
- Implementation:HKUDS AI Trader Calculate Portfolio Values
- Implementation:Infiniflow Ragflow Build Chunks
Heuristics
- Heuristic:Pola rs Polars Lazy Over Eager Preference
- Heuristic:HKUDS AI Trader Market Type Auto Detection
- Heuristic:LLMBook zh LLMBook zh github io Deduplication Ngram Threshold
- Heuristic:Dotnet Machinelearning Sparsity Threshold Optimization
- Heuristic:Hpcaitech ColossalAI CUDA Device Max Connections Tip
- Heuristic:Norrrrrrr lyn WAInjectBench Union Ensemble Maximize Recall
- Heuristic:OpenBMB UltraFeedback Principle Distribution Tuning
- Heuristic:Anthropics Anthropic sdk python Streaming For Long Requests
- Heuristic:Bigscience workshop Petals Batch Splitting Threshold
- Heuristic:Ucbepic Docetl Token Counting And Truncation
Environments
- Environment:Openai Openai python Python 3 9 Plus
- Environment:Confident ai Deepeval LLM Provider Credentials
- Environment:ThreeSR Awesome Inference Time Scaling Semantic Scholar API Environment
- Environment:Huggingface Trl Quantization Environment
- Environment:Kserve Kserve SRIOV RDMA Network
- Environment:Alibaba MNN GPU Metal Environment
- Environment:Duckdb Duckdb Code Formatting Tools
- Environment:Openai Openai agents python Voice Dependencies
- Environment:Infiniflow Ragflow Python Runtime
- Environment:Sgl project Sglang CPU