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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:Facebookresearch Habitat lab Agent Benchmarking
- Workflow:TobikoData Sqlmesh Dbt project migration
- Workflow:SeldonIO Seldon core Model Deployment
- Workflow:Risingwavelabs Risingwave Streaming ETL Pipeline
- Workflow:Heibaiying BigData Notes Kafka Producer Consumer Pipeline
- Workflow:Vespa engine Vespa Document indexing pipeline
- Workflow:Volcengine Verl Multi Turn Tool Use Training
- Workflow:Heibaiying BigData Notes Storm Topology Development
- Workflow:TobikoData Sqlmesh Environment management
- Workflow:Pytorch Serve LLM Deployment vLLM
Principles
- Principle:Apache Hudi Schema Change Execution
- Principle:Truera Trulens Server Side Evaluation
- Principle:Unstructured IO Unstructured Benchmark Execution
- Principle:Confident ai Deepeval Faithfulness Evaluation
- Principle:AUTOMATIC1111 Stable diffusion webui Embedding serialization
- Principle:Huggingface Diffusers Training Model Loading
- Principle:MaterializeInc Materialize Content Addressed Fingerprinting
- Principle:CrewAIInc CrewAI Task Definition
- Principle:Deepseek ai Janus Autoregressive Text Generation
- Principle:Farama Foundation Gymnasium Reproducible Seeding
Implementations
- Implementation:Lance format Lance VectorThroughputBench
- Implementation:Langgenius Dify UseDataSourceList
- Implementation:Open compass VLMEvalKit Generate Inner
- Implementation:Facebookresearch Habitat lab AgentAccessMgr
- Implementation:Openai Evals CompletionFnSpec Registration
- Implementation:NVIDIA NeMo Curator DocumentSplitter
- Implementation:Google deepmind Mujoco initOpenGL Pattern
- Implementation:Hpcaitech ColossalAI Trainer Callback Base
- Implementation:Openai Openai python BaseModel Validation
- Implementation:Openai Openai node Skill Versions
Heuristics
- Heuristic:Pola rs Polars GPU Aggregation Join Speedup
- Heuristic:NVIDIA TransformerEngine FP8 Checkpoint Compatibility
- Heuristic:CarperAI Trlx Reward Model Layer Freezing
- Heuristic:Tencent Ncnn FP16 Precision Selection
- Heuristic:Hiyouga LLaMA Factory Gradient Checkpointing Memory Optimization
- Heuristic:Kubeflow Pipelines Component URL Commit SHA Pinning
- Heuristic:MaterializeInc Materialize Pipeline Test Trimming Rules
- Heuristic:Unstructured IO Unstructured Multi Python Matrix
- Heuristic:FlowiseAI Flowise Heap Memory Configuration
- Heuristic:Ggml org Ggml Memory Allocation Strategy
Environments
- Environment:TobikoData Sqlmesh Web UI Stack
- Environment:Tensorflow Serving Kubernetes Deployment Environment
- Environment:Recommenders team Recommenders Python Core Dependencies
- Environment:Apache Shardingsphere Java Runtime Environment
- Environment:Sgl project Sglang CPU Runtime
- Environment:Neuml Txtai GPU Accelerator Detection
- Environment:Bitsandbytes foundation Bitsandbytes HPU Gaudi Runtime
- Environment:Nautechsystems Nautilus trader Asyncio Uvloop Event Loop
- Environment:Pyro ppl Pyro Python PyTorch Core
- Environment:Mlfoundations Open flamingo PyTorch CUDA Distributed