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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:Deepspeedai DeepSpeed ZeRO Distributed Training
- Workflow:MaterializeInc Materialize Docker Image Build
- Workflow:InternLM Lmdeploy W8A8 SmoothQuant Quantization
- Workflow:Googleapis Python genai Text Content Generation
- Workflow:OWASP Www project top 10 for large language model applications LLM Vulnerability Assessment
- Workflow:OpenBMB UltraFeedback GPT4 Preference Annotation
- Workflow:Intel Ipex llm vLLM Serving
- Workflow:Openai Whisper Language Detection And Decoding
- Workflow:Haifengl Smile Model Serving Pipeline
- Workflow:MaterializeInc Materialize dbt Integration
Principles
- Principle:DistrictDataLabs Yellowbrick Regularization Tuning
- Principle:LaurentMazare Tch rs Batch Normalization
- Principle:Ggml org Llama cpp ResourceManagement
- Principle:NVIDIA NeMo Curator Video Ingestion
- Principle:Obss Sahi Result Visualization
- Principle:Mbzuai oryx Awesome LLM Post training Trend Visualization
- Principle:Openai CLIP Linear Classification
- Principle:Microsoft DeepSpeedExamples Multimodal Model Composition
- Principle:PeterL1n BackgroundMattingV2 ONNX export
- Principle:Apache Dolphinscheduler Server Lifecycle Management
Implementations
- Implementation:Microsoft Semantic kernel Python Pyproject Configuration
- Implementation:Openai Openai python SDK Core Types
- Implementation:Webdriverio Webdriverio FetchMock
- Implementation:Haosulab ManiSkill UR10e
- Implementation:Apache Hudi HoodieFileGroupReader GetClosableIterator
- Implementation:Ucbepic Docetl LeaseContractExplorer
- Implementation:Avhz RustQuant SABR Process
- Implementation:Scikit learn Scikit learn GraphUtils
- Implementation:DistrictDataLabs Yellowbrick LearningCurve Visualizer
- Implementation:Promptfoo Promptfoo Version Constants
Heuristics
- Heuristic:EvolvingLMMs Lab Lmms eval Memory Cleanup After Inference
- Heuristic:Googleapis Python genai API Retry Backoff Strategy
- Heuristic:Huggingface Optimum GPTQ Quantization Defaults
- Heuristic:TA Lib Ta lib python NaN Propagation Behavior
- Heuristic:Mistralai Client python Stream File Uploads
- Heuristic:Openai Evals Model Graded Eval Design
- Heuristic:Bentoml BentoML Platform Serving Caveats
- Heuristic:ArroyoSystems Arroyo Checkpoint Interval Tuning
- Heuristic:Spotify Luigi Parameter Propagation Decorators
- Heuristic:Allenai Open instruct Gradient Clipping Norm
Environments
- Environment:Kserve Kserve GPU Accelerator
- Environment:Nautechsystems Nautilus trader Binance API Credentials
- Environment:Online ml River Python Runtime Environment
- Environment:Ggml org Llama cpp CMake Build Environment
- Environment:Huggingface Trl PEFT LoRA Environment
- Environment:Rapidsai Cuml CUDA GPU
- Environment:Langfuse Langfuse Node 24 Runtime
- Environment:Testtimescaling Testtimescaling github io Python 3 Runtime
- Environment:Lm sys FastChat Python Core Dependencies
- Environment:Huggingface Open r1 Slurm Cluster