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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:EvolvingLMMs Lab Lmms eval End to End Evaluation
- Workflow:Sktime Pytorch forecasting TFT Hyperparameter Optimization
- Workflow:Run llama Llama index Data Ingestion Pipeline
- Workflow:Getgauge Taiko Headless Browser Testing
- Workflow:Microsoft DeepSpeedExamples RLHF Training Pipeline
- Workflow:Neuml Txtai Workflow Orchestration
- Workflow:Huggingface Transformers 3D Parallel Distributed Training
- Workflow:Trailofbits Fickling Pickle Decompilation and Tracing
- Workflow:Vllm project Vllm Structured Output Generation
- Workflow:Microsoft Onnxruntime Python Inference Pipeline
Principles
- Principle:Spcl Graph of thoughts Language Model Abstraction
- Principle:Openai Openai node Realtime Connection
- Principle:Langgenius Dify Web App Sharing
- Principle:Online ml River Multiclass Decomposition
- Principle:Eventual Inc Daft Window Functions
- Principle:Apache Shardingsphere Exclusive Operation Management
- Principle:Eventual Inc Daft Iceberg Catalog Creation
- Principle:Guardrails ai Guardrails Guard Pydantic Factory
- Principle:Hiyouga LLaMA Factory Proximal Policy Optimization
- Principle:Pyro ppl Pyro Simulator Based Inference
Implementations
- Implementation:LLMBook zh LLMBook zh github io FilterPassageByLangs Filter Single Text
- Implementation:Langchain ai Langgraph StoreBatchOperations
- Implementation:Fede1024 Rust rdkafka ClientConfig Builder
- Implementation:Arize ai Phoenix Prompts Create
- Implementation:Apache Dolphinscheduler AbstractClusterSubscribeListener Notify
- Implementation:Alibaba MNN Express Optimizer
- Implementation:Microsoft Playwright Electron
- Implementation:Hiyouga LLaMA Factory Base Engine
- Implementation:Togethercomputer Together python Evaluation Resource
- Implementation:Dagster io Dagster Dbt Asset Check Integration
Heuristics
- Heuristic:Langchain ai Langgraph Durability Mode Selection
- Heuristic:Huggingface Alignment handbook Liger Kernel Memory
- Heuristic:DevExpress Testcafe Browser Connection Timeouts
- Heuristic:Apache Airflow Scheduler Performance Tuning
- Heuristic:Hiyouga LLaMA Factory Mixed Precision Training Tips
- Heuristic:Mlflow Mlflow Async Logging Best Practices
- Heuristic:Kubeflow Kubeflow Stale Issue Lifecycle Management
- Heuristic:Testtimescaling Testtimescaling github io Persist Credentials False
- Heuristic:Cohere ai Cohere python ToolCallV2 Auto UUID Override
- Heuristic:Mlc ai Web llm Low Resource Model Selection
Environments
- Environment:Explodinggradients Ragas Python Runtime Environment
- Environment:Kserve Kserve GPU Accelerator
- Environment:Vespa engine Vespa POSIX Mmap Log Control
- Environment:Dagster io Dagster Container Resource Monitoring
- Environment:Mbzuai oryx Awesome LLM Post training Python Pandas
- Environment:FlowiseAI Flowise Database Environment
- Environment:Spotify Luigi AWS S3 Storage
- Environment:Langgenius Dify Docker Compose Environment
- Environment:Huggingface Trl PEFT LoRA Environment
- Environment:Treeverse LakeFS Spark GC Environment