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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:ARISE Initiative Robomimic Dataset Preparation Pipeline
- Workflow:Dagster io Dagster ML Pipeline
- Workflow:Rapidsai Cuml GPU Clustering
- Workflow:Pytorch Serve Large Model Inference
- Workflow:Openai Openai python Chat Completion
- Workflow:Microsoft Autogen Swarm Agent Handoff
- Workflow:FlagOpen FlagEmbedding Embedder Inference
- Workflow:Gretelai Gretel synthetics DataFrame Batch Synthesis
- Workflow:Volcengine Verl GRPO Training Pipeline
- Workflow:Confident ai Deepeval AI Agent Evaluation
Principles
- Principle:NVIDIA TransformerEngine FP8 Quantization
- Principle:Kserve Kserve OpenAI Compatible Inference
- Principle:Hpcaitech ColossalAI Ray Weight Synchronization
- Principle:Eventual Inc Daft Python Package Configuration
- Principle:OpenGVLab InternVL Layer Wise LR Decay
- Principle:Dagster io Dagster Data Quality Validation
- Principle:Webdriverio Webdriverio ElementChaining
- Principle:FMInference FlexLLMGen Distributed Pipeline Parallel Inference
- Principle:AUTOMATIC1111 Stable diffusion webui UI Architecture
- Principle:Ollama Ollama KVCache Encoder Caching
Implementations
- Implementation:Mit han lab Llm awq StreamGenerator
- Implementation:Bentoml BentoML Models Delete
- Implementation:Avhz RustQuant Utils
- Implementation:Rapidsai Cuml SVC API
- Implementation:Mlc ai Mlc llm Param Mapping
- Implementation:Hiyouga LLaMA Factory KTransformers Integration
- Implementation:EvolvingLMMs Lab Lmms eval IFEval Instructions Util
- Implementation:Datajuicer Data juicer ExtractEntityRelationMapper
- Implementation:Risingwavelabs Risingwave SnowflakeDialect
- Implementation:NVIDIA NeMo Curator VideoTasks
Heuristics
- Heuristic:Duckdb Duckdb PR Submission Strategy
- Heuristic:PrefectHQ Prefect Retry Backoff Strategy
- Heuristic:Protectai Modelscan Stricter Zip Detection
- Heuristic:Apache Airflow Database Lock Handling
- Heuristic:Iterative Dvc Shell Execution Pitfalls
- Heuristic:Explodinggradients Ragas Concurrency And Rate Limiting
- Heuristic:Avhz RustQuant MC Parallel Path Threshold
- Heuristic:Iamhankai Forest of Thought Input Length Overflow Recovery
- Heuristic:Hpcaitech ColossalAI Empty Cache Between Phases
- Heuristic:Volcengine Verl Inplace Operations OOM Prevention
Environments
- Environment:Huggingface Trl vLLM Generation Environment
- Environment:EvolvingLMMs Lab Lmms eval Python Runtime Environment
- Environment:Onnx Onnx Cpp Build Environment
- Environment:Vibrantlabsai Ragas Optional NLP Metrics Environment
- Environment:Googleapis Python genai Gemini API Key Authentication
- Environment:Huggingface Transformers 3D Parallel Multi GPU
- Environment:Hpcaitech ColossalAI GRPO Distributed Environment
- Environment:Tensorflow Serving GPU CUDA Environment
- Environment:Confident ai Deepeval Python 3 9 Runtime
- Environment:Vllm project Vllm Intel XPU