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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:Langchain ai Langchain Adding Partner Integration
- Workflow:PrefectHQ Prefect Web Scraping Pipeline
- Workflow:Explodinggradients Ragas Test Data Generation
- Workflow:Zai org CogVideo SAT Video Generation
- Workflow:Axolotl ai cloud Axolotl DPO Preference Alignment
- Workflow:Zai org CogVideo Diffusers LoRA Finetuning
- Workflow:Sdv dev SDV Sequential data synthesis
- Workflow:Norrrrrrr lyn WAInjectBench LLaVA Finetuning
- Workflow:Iterative Dvc Remote Data Sync
- Workflow:Alibaba MNN Python Model Inference
Principles
- Principle:ARISE Initiative Robomimic Configuration Generation
- Principle:Facebookresearch Audiocraft Sample Management
- Principle:Openai Evals Result Recording
- Principle:TA Lib Ta lib python Price Data Preparation
- Principle:Diagram of thought Diagram of thought Reasoning Path Analysis
- Principle:Webdriverio Webdriverio W3C WebDriver Bidi Specification
- Principle:Webdriverio Webdriverio BrowserStack Integration
- Principle:Bigscience workshop Petals Environment Setup
- Principle:Snorkel team Snorkel Generative Label Model Training
- Principle:Langchain ai Langgraph Interrupt Definition
Implementations
- Implementation:Trailofbits Fickling Get Stats
- Implementation:Open compass VLMEvalKit TEDS Metric
- Implementation:Mlc ai Mlc llm Package
- Implementation:LMCache LMCache Custom IPC Types
- Implementation:EvolvingLMMs Lab Lmms eval Create Iterator
- Implementation:Hpcaitech ColossalAI RewardModel
- Implementation:Apache Paimon MathUtils
- Implementation:SeleniumHQ Selenium Closure Iter
- Implementation:Diagram of thought Diagram of thought Role Block Editor
- Implementation:CARLA simulator Carla LaneSection
Heuristics
- Heuristic:Duckdb Duckdb Build Parallelism Tuning
- Heuristic:CARLA simulator Carla Client Server Version Match
- Heuristic:Sktime Pytorch forecasting Learning Rate Scheduling
- Heuristic:Avdvg InjectGuard Sim K Threshold Tuning
- Heuristic:Avhz RustQuant Finite Difference Grid Sizing
- Heuristic:Lakeraai Pint benchmark Optimal Configuration Selection
- Heuristic:Google research Deduplicate text datasets Ulimit File Descriptors For Merge
- Heuristic:Cleanlab Cleanlab KNN Distance Metric Selection
- Heuristic:DataExpert io Data engineer handbook Watermark Late Arrival Tolerance
- Heuristic:Protectai Llm guard Fail Fast Early Exit
Environments
- Environment:Hpcaitech ColossalAI CUDA GPU Environment
- Environment:Eric mitchell Direct preference optimization Python Dependencies
- Environment:Sgl project Sglang Kubernetes
- Environment:Testtimescaling Testtimescaling github io Python 3 Runtime
- Environment:Huggingface Transformers Flash Attention 2 Env
- Environment:Triton inference server Server Docker Container Build
- Environment:Evidentlyai Evidently SQL Storage Environment
- Environment:Intel Ipex llm RAG LlamaIndex Environment
- Environment:VainF Torch Pruning YOLO Pruning Dependencies
- Environment:Sgl project Sglang Multimodal