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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 |
Explore Pages
Workflows
- Workflow:Lucidrains X transformers Non Autoregressive Masked Generation
- Workflow:Unstructured IO Unstructured Document Partitioning
- Workflow:ContextualAI HALOs Offline SFT Alignment Pipeline
- Workflow:Zai org CogVideo Diffusers Text to Video Inference
- Workflow:Haifengl Smile Model Serving Pipeline
- Workflow:Mlc ai Mlc llm REST API Serving
- Workflow:Teamcapybara Capybara Element Finding And Interaction
- Workflow:MarketSquare Robotframework browser Installation and Setup
- Workflow:CARLA simulator Carla Building from Source
- Workflow:Googleapis Python genai Image Generation Pipeline
Principles
- Principle:Fastai Fastbook Random Forest
- Principle:Axolotl ai cloud Axolotl Vision Language Model Loading
- Principle:Mlflow Mlflow GenAI Evaluation Execution
- Principle:Spotify Luigi SQL Query Execution
- Principle:Pola rs Polars Python Release Pipeline
- Principle:Webdriverio Webdriverio Service Initialization
- Principle:Spotify Luigi Database Data Loading
- Principle:Cohere ai Cohere python Chat Response Processing
- Principle:Helicone Helicone Provider Key Management
- Principle:Langgenius Dify Docker Infrastructure
Implementations
- Implementation:DevExpress Testcafe NativeAutomation RequestHookEventProvider
- Implementation:Mage ai Mage ai Chargebee Common Credit Notes Schema
- Implementation:NVIDIA DALI UserStream
- Implementation:ChenghaoMou Text dedup Save Dataset
- Implementation:Pola rs Polars Datetime Timezone Ops
- Implementation:Recommenders team Recommenders Criteo Dataset
- Implementation:Google deepmind Mujoco MJX Smooth
- Implementation:Microsoft LoRA NLG Eval Script
- Implementation:SeleniumHQ Selenium Closure Positioning
- Implementation:Apache Kafka Standardize Jira Ref
Heuristics
- Heuristic:DistrictDataLabs Yellowbrick Scikit Learn API Compatibility
- Heuristic:EvolvingLMMs Lab Lmms eval Distributed Padding Strategy
- Heuristic:Spcl Graph of thoughts GoT Decompose Sort Merge Strategy
- Heuristic:TA Lib Ta lib python Compatibility Mode Switching
- Heuristic:Lm sys FastChat Tokenizer Offset Correction
- Heuristic:Mlflow Mlflow Prompt Cache Tuning
- Heuristic:Testtimescaling Testtimescaling github io Dual JSON Sync
- Heuristic:Sdv dev SDV Sampling Retry Tuning
- Heuristic:Bentoml BentoML Warning Deprecated Server Module
- Heuristic:TobikoData Sqlmesh Model Change Categorization
Environments
- Environment:Intel Ipex llm Linux XPU Environment
- Environment:Dotnet Machinelearning ONNX Runtime Environment
- Environment:Lakeraai Pint benchmark Python 310 With Transformers
- Environment:Ggml org Llama cpp CMake Build Environment
- Environment:Infiniflow Ragflow GPU CUDA Environment
- Environment:Neuml Txtai GPU Accelerator Detection
- Environment:DataTalksClub Data engineering zoomcamp Docker PostgreSQL Python Environment
- Environment:Unstructured IO Unstructured Ingest CLI
- Environment:Open compass VLMEvalKit GPU CUDA Environment
- Environment:Obss Sahi Python Image Processing