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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:Mistralai Client python Function Calling
- Workflow:Microsoft DeepSpeedExamples SuperOffload Finetuning
- Workflow:Webdriverio Webdriverio Standalone Browser Automation
- Workflow:Kubeflow Kubeflow Release Management
- Workflow:Langchain ai Langchain Adding Partner Integration
- Workflow:ClickHouse ClickHouse Running Stateless Tests
- Workflow:Haifengl Smile SQL Analytics Pipeline
- Workflow:FlowiseAI Flowise Chatbot Deployment
- Workflow:CrewAIInc CrewAI Custom Tool Integration
- Workflow:Vibrantlabsai Ragas RAG Evaluation
Principles
- Principle:Infiniflow Ragflow Dataflow Pipeline
- Principle:Ggml org Ggml Computation Graph Construction
- Principle:Microsoft Onnxruntime Training Artifact Generation
- Principle:Mlflow Mlflow Prompt Loading and Formatting
- Principle:Helicone Helicone Design System
- Principle:Vllm project Vllm Batch Text Generation
- Principle:Puppeteer Puppeteer Dynamic Content Waiting
- Principle:LLMBook zh LLMBook zh github io BPE Tokenization
- Principle:Unslothai Unsloth OCR Evaluation
- Principle:Elevenlabs Elevenlabs python Realtime Speech to Text
Implementations
- Implementation:Open compass VLMEvalKit MMHelix TwentyFourPoints Eval
- Implementation:Huggingface Datatrove TokenizerUtils
- Implementation:Ggml org Ggml Common quantization types
- Implementation:Google deepmind Mujoco User Util Header
- Implementation:Rapidsai Cuml Package Init
- Implementation:Pytorch Serve VLLMHandler
- Implementation:InternLM Lmdeploy Batch
- Implementation:Mlc ai Mlc llm Text Streamer
- Implementation:Mlflow Mlflow Set Model Version Tag
- Implementation:ClickHouse ClickHouse Clickhouse Local Query
Heuristics
- Heuristic:Onnx Onnx Shape Inference Limitations
- Heuristic:ClickHouse ClickHouse Test Writing Conventions
- Heuristic:Togethercomputer Together python Fine Tuning Parameter Validation
- Heuristic:NVIDIA DALI Thread Affinity Optimization
- Heuristic:Mlc ai Web llm Grammar Matcher Reuse
- Heuristic:DevExpress Testcafe MacOS Browser Launch Serialization
- Heuristic:Microsoft Semantic kernel Prompt Injection Safety
- Heuristic:LMCache LMCache CacheGen Quantization Strategy
- Heuristic:Danijar Dreamerv3 XLA GPU Optimization Flags
- Heuristic:Mbzuai oryx Awesome LLM Post training Paper Deduplication Via Dict
Environments
- Environment:Treeverse LakeFS Spark GC Environment
- Environment:Explodinggradients Ragas Google Drive Backend Environment
- Environment:Huggingface Datatrove Inference GPU Environment
- Environment:Intel Ipex llm NPU Cpp Environment
- Environment:Sgl project Sglang Prometheus
- Environment:Cohere ai Cohere python Python SDK Runtime
- Environment:Mit han lab Llm awq CUDA Build Environment
- Environment:Scikit learn Scikit learn OpenMP Thread Configuration
- Environment:Ucbepic Docetl Python Runtime
- Environment:Zai org CogVideo Diffusers Finetuning Environment