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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:Huggingface Diffusers ControlNet Guided Generation
- Workflow:Microsoft Playwright End to end test authoring
- Workflow:InternLM Lmdeploy W4A16 AWQ Quantization
- Workflow:Spotify Luigi Central Scheduler Deployment
- Workflow:ARISE Initiative Robomimic Dataset Preparation Pipeline
- Workflow:FlowiseAI Flowise Document Store Ingestion
- Workflow:Groq Groq python Text Embedding
- Workflow:Interpretml Interpret Model Explanation And Visualization
- Workflow:Gretelai Gretel synthetics DataFrame Batch Synthesis
- Workflow:Mlflow Mlflow Experiment Tracking
Principles
- Principle:Norrrrrrr lyn WAInjectBench Checkpoint Export
- Principle:Duckdb Duckdb Regression Analysis And Reporting
- Principle:Langgenius Dify Node Level Testing
- Principle:Tensorflow Serving Batching Enablement
- Principle:Allenai Open instruct SFT Dataset Preparation
- Principle:Microsoft Autogen State Persistence
- Principle:Openai Openai python Embedding Result Processing
- Principle:LaurentMazare Tch rs TorchScript Loading
- Principle:DistrictDataLabs Yellowbrick Class Prediction Error Analysis
- Principle:Huggingface Diffusers Pipeline Level Quantization
Implementations
- Implementation:Astronomer Astronomer cosmos SparkThriftProfileMapping
- Implementation:Online ml River Datasets ChickWeights
- Implementation:Openai Openai agents python ApplyPatchTool Pattern
- Implementation:Farama Foundation Gymnasium JaxToNumpy
- Implementation:Kornia Kornia Colormap
- Implementation:FlowiseAI Flowise JsonEditor
- Implementation:Ggml org Llama cpp Speculative Header
- Implementation:PacktPublishing LLM Engineers Handbook FastLanguageModel For Inference
- Implementation:Alibaba MNN MNNConvert CLI
- Implementation:Scikit learn Scikit learn BaseSearchCV Fit
Heuristics
- Heuristic:Apache Airflow Database Lock Handling
- Heuristic:Treeverse LakeFS Warning Deprecated InternalApi Methods
- Heuristic:Neuml Txtai MacOS OpenMP Workaround
- Heuristic:Tencent Ncnn NMS Threshold Tuning
- Heuristic:SeleniumHQ Selenium Bazel Hermetic Build Requirement
- Heuristic:Mlflow Mlflow Async Logging Best Practices
- Heuristic:ChenghaoMou Text dedup Mersenne Prime Backward Compatibility
- Heuristic:MarketSquare Robotframework browser Docker Chrome Security
- Heuristic:Huggingface Alignment handbook Global Batch Size Scaling
- Heuristic:Haifengl Smile Quarkus Async Context Handling
Environments
- Environment:Openai CLIP Python Dependencies
- Environment:Alibaba MNN GPU CUDA Environment
- Environment:Vllm project Vllm Distributed
- Environment:Deepseek ai Janus CUDA GPU Environment
- Environment:Apache Beam Portable Runner Environment
- Environment:Alibaba ROLL Megatron Training Environment
- Environment:Microsoft Autogen Extension Optional Dependencies
- Environment:NVIDIA NeMo Aligner PyTriton Serving Environment
- Environment:Astronomer Astronomer cosmos Kubernetes Provider
- Environment:Evidentlyai Evidently LLM Evaluation Environment