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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 Datatrove Summary Statistics
- Workflow:Dotnet Machinelearning ONNX Model Scoring
- Workflow:Danijar Dreamerv3 Distributed Parallel Training
- Workflow:LLMBook zh LLMBook zh github io LLM Pretraining
- Workflow:Bentoml BentoML Multi Model Composition
- Workflow:Alibaba ROLL RLVR Training Pipeline
- Workflow:Tencent Ncnn Vulkan GPU Accelerated Inference
- Workflow:Mlc ai Web llm Web Worker Deployment
- Workflow:Spcl Graph of thoughts Custom GoT Use Case Integration
- Workflow:AUTOMATIC1111 Stable diffusion webui Textual inversion training
Principles
- Principle:InternLM Lmdeploy W8A8 Quantized Inference
- Principle:Openai Openai agents python Lifecycle Hooks
- Principle:Huggingface Trl DPO Evaluation and Saving
- Principle:FlowiseAI Flowise Chatflow Listing
- Principle:Liu00222 Open Prompt Injection Application Query Pipeline
- Principle:DataTalksClub Data engineering zoomcamp Kestra Data Extraction
- Principle:Langgenius Dify PluginArchitecture
- Principle:Eric mitchell Direct preference optimization Hydra Configuration
- Principle:Deepset ai Haystack PDF Conversion
- Principle:DistrictDataLabs Yellowbrick Statistical Quartet Visualization
Implementations
- Implementation:Trailofbits Fickling Deactivate Safe ML Environment
- Implementation:Puppeteer Puppeteer NodeWebSocketTransport
- Implementation:CARLA simulator Carla BasicAgent Vehicle Obstacle Detected
- Implementation:Risingwavelabs Risingwave JniDbzSourceHandler RunJniDbzSourceThread
- Implementation:Kserve Kserve Triton MMS Perf Test
- Implementation:Lance format Lance LegacyBitpackEncoding
- Implementation:Pola rs Polars Group By Dynamic
- Implementation:Kornia Kornia Quaternion
- Implementation:NVIDIA NeMo Aligner Reward Model Class Registry
- Implementation:Apache Paimon PrimaryKeyTableSplitGenerator
Heuristics
- Heuristic:Avhz RustQuant Learning Rate Tuning
- Heuristic:DataTalksClub Data engineering zoomcamp CSV Chunk Size Optimization
- Heuristic:Treeverse LakeFS S3 Multipart Size Constraint
- Heuristic:Togethercomputer Together python Retry Backoff Strategy
- Heuristic:Huggingface Diffusers Memory Offloading Strategy
- Heuristic:Bentoml BentoML Platform Serving Caveats
- Heuristic:Zai org CogVideo Training Hyperparameter Defaults
- Heuristic:Triton inference server Server Documentation Standards
- Heuristic:OpenBMB UltraFeedback GPU Memory Utilization
- Heuristic:Danijar Dreamerv3 Symlog TwoHot Prediction
Environments
- Environment:Cohere ai Cohere python AWS Integration Dependencies
- Environment:PeterL1n BackgroundMattingV2 PyTorch CUDA
- Environment:Sgl project Sglang CPU Runtime
- Environment:NVIDIA NeMo Curator RAPIDS GPU Stack
- Environment:Mlfoundations Open flamingo Evaluation Dependencies
- Environment:Scikit learn Scikit learn OpenMP Thread Configuration
- Environment:Apache Druid Integration Test Docker
- Environment:Ollama Ollama GPU Runtime
- Environment:Sktime Pytorch forecasting Matplotlib Plotting Dependencies
- Environment:Google deepmind Mujoco Python Bindings Environment