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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:Openclaw Openclaw Initial Setup And Onboarding
- Workflow:Mlflow Mlflow Model Serving
- Workflow:Googleapis Python genai Image Generation Pipeline
- Workflow:Astronomer Astronomer cosmos Dbt docs generation
- Workflow:Cleanlab Cleanlab CleanLearning Robust Training
- Workflow:Nautechsystems Nautilus trader Data loading and cataloging
- Workflow:MaterializeInc Materialize Docker Image Build
- Workflow:Apache Airflow Provider Distribution Development
- Workflow:Microsoft BIPIA Attack Success Rate Evaluation
- Workflow:Microsoft Semantic kernel Plugin Integration And Function Calling
Principles
- Principle:Puppeteer Puppeteer Device Emulation
- Principle:Evidentlyai Evidently Data Drift Detection
- Principle:AUTOMATIC1111 Stable diffusion webui Model Discovery
- Principle:Huggingface Optimum Task and Model Resolution
- Principle:LMCache LMCache Prefiller Instance Launch
- Principle:Lucidrains X transformers Transformer As MLP
- Principle:Trailofbits Fickling Pickle Allowlist Enforcement
- Principle:Promptfoo Promptfoo Configuration Rendering
- Principle:Neuml Txtai SQL Query Processing
- Principle:Microsoft Semantic kernel Metadata Filtering
Implementations
- Implementation:AnswerDotAI RAGatouille RAGTrainer Init
- Implementation:Deepspeedai DeepSpeed Evoformer Epilogue Tile Iterator
- Implementation:NVIDIA NeMo Curator Base URLGenerator
- Implementation:Dotnet Machinelearning AutoMLExperiment Run
- Implementation:Kornia Kornia Median Filter
- Implementation:Rapidsai Cuml FIL Postproc Ops
- Implementation:Facebookresearch Habitat lab BaselineRegistry
- Implementation:Mit han lab Llm awq InternVisionConfig
- Implementation:Datajuicer Data juicer ImageFaceRatioFilter
- Implementation:Kornia Kornia Depth Smoothness Loss
Heuristics
- Heuristic:Pyro ppl Pyro MCMC Warmup Adaptation
- Heuristic:Deepspeedai DeepSpeed ZeRO Pipeline Incompatibility
- Heuristic:EvolvingLMMs Lab Lmms eval Distributed Padding Strategy
- Heuristic:Iamhankai Forest of Thought Self Correction Confidence Threshold
- Heuristic:Marker Inc Korea AutoRAG OpenAI Rate Limit Mitigation
- Heuristic:Dotnet Machinelearning LDA Thread Reservation
- Heuristic:Langgenius Dify Token Refresh Loop Prevention
- Heuristic:Fastai Fastbook Dropout Regularization
- Heuristic:Ggml org Llama cpp Context Size Alignment
- Heuristic:ChenghaoMou Text dedup Fingerprint Batch Size One
Environments
- Environment:Huggingface Transformers 3D Parallel Multi GPU
- Environment:Sgl project Sglang CPU
- Environment:Helicone Helicone Cloudflare Workers Runtime
- Environment:Cohere ai Cohere python AWS Integration Dependencies
- Environment:Online ml River Build Toolchain
- Environment:OpenBMB UltraFeedback vLLM Multi GPU Environment
- Environment:Vllm project Vllm Environment Variables
- Environment:ArroyoSystems Arroyo Rust Runtime
- Environment:ClickHouse ClickHouse Python3 Test Environment
- Environment:Nautechsystems Nautilus trader Asyncio Uvloop Event Loop