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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:Facebookresearch Audiocraft Model Export And Deployment
- Workflow:Teamcapybara Capybara Custom Selector Definition
- Workflow:SeldonIO Seldon core AB Testing Experiment
- Workflow:Spcl Graph of thoughts GoT Sorting Pipeline
- Workflow:Recommenders team Recommenders ALS Spark Recommendation
- Workflow:Bentoml BentoML Service Definition And Local Serving
- Workflow:Microsoft Onnxruntime Python Inference Pipeline
- Workflow:Mlflow Mlflow Prompt Management
- Workflow:Langchain ai Langgraph Persistence and Memory Setup
- Workflow:Arize ai Phoenix Trace Ingestion Pipeline
Principles
- Principle:Anthropics Anthropic sdk python API Resource Pattern
- Principle:Pyro ppl Pyro Probabilistic Modeling
- Principle:Recommenders team Recommenders Data Loading MovieLens Pandas
- Principle:Microsoft Agent framework Workflow Agent Wrapping
- Principle:Lm sys FastChat Prompt Deduplication
- Principle:OpenRLHF OpenRLHF Knowledge Distillation Training
- Principle:Apache Druid Schema Discovery
- Principle:Helicone Helicone Prerequisites Installation
- Principle:Ggml org Llama cpp Evaluation Dataset Acquisition
- Principle:Dotnet Machinelearning Binary Classification Training
Implementations
- Implementation:Openai CLIP Dataset Preparation Wrapper
- Implementation:Avhz RustQuant SABR Process
- Implementation:Online ml River Linear Model BayesianLinearRegression
- Implementation:Hiyouga LLaMA Factory MoE Config
- Implementation:SeleniumHQ Selenium Closure Functions
- Implementation:Apache Flink SingleThreadFetcherManager
- Implementation:Lm sys FastChat Condense Rotary Embedding
- Implementation:Avhz RustQuant StochasticProcess generate
- Implementation:Bentoml BentoML Runner Container
- Implementation:Kornia Kornia PSNR Loss
Heuristics
- Heuristic:ClickHouse ClickHouse Debug Build Tips
- Heuristic:Shiyu coder Kronos Instance Normalization Clipping
- Heuristic:Unstructured IO Unstructured PDF Element Sorting
- Heuristic:Unslothai Unsloth LoRA Rank Selection
- Heuristic:Alibaba MNN Warning Deprecated Winograd Codegen
- Heuristic:VainF Torch Pruning AutoGrad Dependency Graph
- Heuristic:Ray project Ray Serve Concurrency And Backpressure
- Heuristic:Microsoft DeepSpeedExamples SuperOffload NUMA Binding
- Heuristic:Cypress io Cypress V8 Snapshot Memory
- Heuristic:Huggingface Transformers Dataloader Pin Memory NonBlocking
Environments
- Environment:Protectai Modelscan TensorFlow Optional
- Environment:Dotnet Machinelearning Native Build Toolchain
- Environment:Mlflow Mlflow GPU System Metrics Environment
- Environment:Vibrantlabsai Ragas Python 3 9 Core Environment
- Environment:Duckdb Duckdb CMake Build Toolchain
- Environment:MarketSquare Robotframework browser Docker Container
- Environment:Marker Inc Korea AutoRAG Japanese NLP Dependencies
- Environment:Microsoft Semantic kernel OpenAI API Environment
- Environment:Romsto Speculative Decoding CUDA PyTorch
- Environment:Spotify Luigi SQLAlchemy Database