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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:Vibrantlabsai Ragas Prompt Optimization
- Workflow:Intel Ipex llm RAG With LangChain
- Workflow:Microsoft BIPIA Attack Success Rate Evaluation
- Workflow:Microsoft Autogen Swarm Agent Handoff
- Workflow:Huggingface Diffusers ControlNet Guided Generation
- Workflow:Dotnet Machinelearning Binary Classification Pipeline
- Workflow:Apache Druid Streaming Ingestion Management
- Workflow:Tensorflow Serving Batched Inference Pipeline
- Workflow:Intel Ipex llm DPO Finetuning
- Workflow:Mage ai Mage ai Destination Data Loading
Principles
- Principle:Wandb Weave Client Initialization
- Principle:Huggingface Transformers Model Lifecycle Management
- Principle:NVIDIA NeMo Aligner Reward Model Validation
- Principle:LaurentMazare Tch rs ImageNet Preprocessing
- Principle:Fastai Fastbook Language Model Fine Tuning
- Principle:Nautechsystems Nautilus trader Catalog Data Querying
- Principle:Anthropics Anthropic sdk python Message Request With Tools
- Principle:SeldonIO Seldon core Pipeline Topology Definition
- Principle:Sdv dev SDV Inequality Constraint
- Principle:ARISE Initiative Robosuite MJCF XML Manipulation
Implementations
- Implementation:VainF Torch Pruning BNScalePruner
- Implementation:HKUDS AI Trader Main Parallel
- Implementation:Nightwatchjs Nightwatch Cucumber Package Install
- Implementation:Iterative Dvc Checkout
- Implementation:SeleniumHQ Selenium GridRedisClient Configuration
- Implementation:DevExpress Testcafe Assertions TypeDefs
- Implementation:Apache Airflow Reproducible Build Verification
- Implementation:Langchain ai Langgraph AsyncPostgresStore
- Implementation:ARISE Initiative Robomimic TrainUtils run epoch
- Implementation:AUTOMATIC1111 Stable diffusion webui DeepDanbooru Tagger
Heuristics
- Heuristic:Vespa engine Vespa Maven Parallel Build Optimization
- Heuristic:Tencent Ncnn Vulkan Pipeline Warmup
- Heuristic:Huggingface Datatrove FineWeb Filter Pipeline Order
- Heuristic:Dotnet Machinelearning Sparsity Threshold Optimization
- Heuristic:ARISE Initiative Robomimic BatchNorm To GroupNorm For EMA
- Heuristic:Fede1024 Rust rdkafka Commit Mode Sync Vs Async
- Heuristic:Onnx Onnx External Data Path Security
- Heuristic:Hiyouga LLaMA Factory Mixed Precision Training Tips
- Heuristic:Microsoft Agent framework Function Invocation Defaults
- Heuristic:Kubeflow Kubeflow Kustomize Build Pipe Apply Pattern
Environments
- Environment:Langgenius Dify Credentials And Env Vars
- Environment:Apache Airflow Docker Container Environment
- Environment:ClickHouse ClickHouse Python3 Test Environment
- Environment:Sail sg LongSpec Training Environment
- Environment:NVIDIA NeMo Aligner NeMo Framework GPU Environment
- Environment:Bentoml BentoML Python Runtime
- Environment:OpenBMB UltraFeedback Python GPU Environment
- Environment:Treeverse LakeFS Web UI Environment
- Environment:Fastai Fastbook NLP SpaCy Environment
- Environment:Sgl project Sglang Runtime