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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:Avhz RustQuant Stochastic Process Simulation
- Workflow:Apache Flink Hybrid Source Switching
- Workflow:Heibaiying BigData Notes Flink Kafka Streaming Pipeline
- Workflow:Neuml Txtai Semantic Search
- Workflow:Vllm project Vllm Multi LoRA Serving
- Workflow:Pytorch Serve Large Model Inference
- Workflow:NVIDIA DALI Video Processing Pipeline
- Workflow:Truera Trulens Custom App Instrumentation And Evaluation
- Workflow:Teamcapybara Capybara Element Finding And Interaction
- Workflow:Langchain ai Langgraph Human in the Loop Agent
Principles
- Principle:Mlc ai Web llm Schema Definition
- Principle:Google deepmind Mujoco Stack Memory
- Principle:Mbzuai oryx Awesome LLM Post training Collection Parameter Configuration
- Principle:Deepspeedai DeepSpeed ZeRO Training Loop
- Principle:Webdriverio Webdriverio WebDriver Error Handling
- Principle:LLMBook zh LLMBook zh github io Training Loop Execution
- Principle:CrewAIInc CrewAI Flow Class Definition
- Principle:Openai Openai node Server To Client Stream Proxying
- Principle:Apache Paimon Data Retrieval
- Principle:Tensorflow Serving Version Label Routing
Implementations
- Implementation:Microsoft DeepSpeedExamples LossTracker AverageMeter Accuracy
- Implementation:Explodinggradients Ragas GeneticOptimizer Class
- Implementation:InternLM Lmdeploy ThreadComm
- Implementation:Apache Dolphinscheduler Maven Plugin Module Setup
- Implementation:ARISE Initiative Robosuite Robotiq140Gripper
- Implementation:Cleanlab Cleanlab Multilabel Find Label Issues
- Implementation:Bentoml BentoML Bentos Export Import
- Implementation:EvolvingLMMs Lab Lmms eval LongTimeScope Utils
- Implementation:Lance format Lance Optimize Indices
- Implementation:Spotify Luigi SparkeyExportTask
Heuristics
- Heuristic:Openclaw Openclaw Plugin Dependency Gotchas
- Heuristic:Pytorch Serve LLM Timeout Configuration
- Heuristic:Langfuse Langfuse Eval Loop Prevention
- Heuristic:Huggingface Datatrove VLLM Startup Optimization
- Heuristic:Scikit learn contrib Imbalanced learn Sampling Strategy Selection
- Heuristic:Deepset ai Haystack Logging Auto Detection
- Heuristic:Arize ai Phoenix Notebook Event Loop Patching
- Heuristic:Langgenius Dify Celery Queue Separation
- Heuristic:Langchain ai Langchain Deprecation Version Tracking
- Heuristic:Princeton nlp SimPO Dropout Disabling
Environments
- Environment:ARISE Initiative Robomimic Robosuite Simulation Backend
- Environment:MaterializeInc Materialize Buildkite CI Runtime
- Environment:Ggml org Ggml Python Tooling Environment
- Environment:Deepspeedai DeepSpeed CPU Environment
- Environment:Elevenlabs Elevenlabs python Python Httpx
- Environment:Tensorflow Tfjs Browser Runtime
- Environment:Dagster io Dagster GRPC Communication
- Environment:Kubeflow Kubeflow Python KFP SDK Environment
- Environment:Roboflow Rf detr Roboflow Deployment Credentials
- Environment:Tensorflow Serving Python Client Environment