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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:Huggingface Peft LoRA Causal LM Finetuning
- Workflow:Langgenius Dify App Creation and Configuration
- Workflow:Neuml Txtai Semantic Search Pipeline
- Workflow:Bigscience workshop Petals Prompt Tuning Classification
- Workflow:Mit han lab Llm awq HuggingFace Model Export
- Workflow:Vibrantlabsai Ragas Agent Evaluation
- Workflow:VainF Torch Pruning LLM Structural Pruning
- Workflow:VainF Torch Pruning CNN Pruning
- Workflow:Microsoft Agent framework Multi Agent Concurrent Orchestration
- Workflow:Volcengine Verl Data Preprocessing For RL
Principles
- Principle:Scikit learn contrib Imbalanced learn Synthetic Minority Oversampling
- Principle:Webdriverio Webdriverio BrowserStack API Endpoints
- Principle:SeleniumHQ Selenium Browser Options Configuration
- Principle:Axolotl ai cloud Axolotl Model Saving
- Principle:Eventual Inc Daft SQL Expression Building
- Principle:Cypress io Cypress Component Test Authoring
- Principle:Triton inference server Server ORCA Load Reporting
- Principle:SeldonIO Seldon core Model Resource Definition
- Principle:Apache Airflow Structlog Logging
- Principle:CarperAI Trlx ROUGE Evaluation
Implementations
- Implementation:Apache Hudi CompactionPlanStrategy Select
- Implementation:Google deepmind Dm control MuJoCo Profiling Wrapper
- Implementation:SeldonIO Seldon core Seldon Model Infer
- Implementation:Sktime Pytorch forecasting Samformer
- Implementation:SeleniumHQ Selenium Page Object Test Pattern
- Implementation:Lance format Lance RestApi
- Implementation:LaurentMazare Tch rs YOLO Detection
- Implementation:FlagOpen FlagEmbedding Matryoshka Mistral Model Compensation
- Implementation:Lance format Lance Encoding Block Statistics
- Implementation:Avhz RustQuant ArithmeticBrownianMotion
Heuristics
- Heuristic:Eric mitchell Direct preference optimization FSDP Batch Size Per GPU
- Heuristic:Scikit learn contrib Imbalanced learn KNeighbors Selection Tips
- Heuristic:Vespa engine Vespa Maven Parallel Build Optimization
- Heuristic:Avdvg InjectGuard Dataset Coverage Recall Bound
- Heuristic:Run llama Llama index Finetuning Warmup Steps
- Heuristic:Kornia Kornia Lazy Loading Optional Deps
- Heuristic:Tensorflow Tfjs Backend Selection Strategy
- Heuristic:Speechbrain Speechbrain Separation Loss Filtering
- Heuristic:Apache Paimon File Sizing and Split Planning
- Heuristic:Gretelai Gretel synthetics GPU Memory Allow Growth
Environments
- Environment:Axolotl ai cloud Axolotl Multi GPU
- Environment:Huggingface Open r1 vLLM Server
- Environment:Zai org CogVideo Diffusers Finetuning Environment
- Environment:Microsoft Playwright Browser Binaries Environment
- Environment:Datahub project Datahub Java Build
- Environment:VainF Torch Pruning CUDA GPU Benchmarking
- Environment:Huggingface Alignment handbook DeepSpeed Multi Node
- Environment:Sgl project Sglang Prometheus
- Environment:Mlc ai Mlc llm CUDA GPU Environment
- Environment:Recommenders team Recommenders GPU CUDA Environment