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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 Custom Model Integration
- Workflow:Langchain ai Langgraph Human in the Loop Agent
- Workflow:PrefectHQ Prefect AI Data Analyst Agent
- Workflow:Eventual Inc Daft Data Lakehouse ETL
- Workflow:Kubeflow Kubeflow Platform Deployment
- Workflow:Huggingface Transformers Model Benchmarking
- Workflow:Princeton nlp SimPO SimPO Training
- Workflow:Datajuicer Data juicer Dataset Quality Analysis
- Workflow:Infiniflow Ragflow Document Processing Pipeline
- Workflow:Pyro ppl Pyro SVI Training
Principles
- Principle:Predibase Lorax Structured Response Parsing
- Principle:Webdriverio Webdriverio BrowserBinaryResolution
- Principle:Norrrrrrr lyn WAInjectBench Supervised Training Loop
- Principle:MarketSquare Robotframework browser Keyword Method Implementation
- Principle:ArroyoSystems Arroyo Job Monitoring
- Principle:Langchain ai Langchain LLM Caching
- Principle:Huggingface Optimum Activation Capture via Hooks
- Principle:Mit han lab Llm awq Weight Clipping Optimization
- Principle:Apache Spark K8s Prerequisites Verification
- Principle:Deepseek ai Janus Prompt Formatting for Flow Generation
Implementations
- Implementation:Onnx Onnx OpSchema System
- Implementation:Treeverse LakeFS CreateBranch
- Implementation:Run llama Llama index DocumentContextExtractor
- Implementation:Nautechsystems Nautilus trader BacktestDataConfig Init
- Implementation:Webdriverio Webdriverio BrowserStack Launcher
- Implementation:Apache Paimon CatalogFactory Create for Ray
- Implementation:Pyro ppl Pyro Einsum Example
- Implementation:Ollama Ollama Clip API
- Implementation:InternLM Lmdeploy Daily Ete Test
- Implementation:Snorkel team Snorkel Make Spark Mapper
Heuristics
- Heuristic:Infiniflow Ragflow Reranking Weight Tuning
- Heuristic:SeleniumHQ Selenium Bazel Hermetic Build Requirement
- Heuristic:ARISE Initiative Robosuite XML Reset Method Tradeoff
- Heuristic:Eric mitchell Direct preference optimization TF32 Matmul Precision
- Heuristic:ClickHouse ClickHouse Jemalloc Production Requirement
- Heuristic:Mlc ai Mlc llm Metal KV Cache Capacity Limit
- Heuristic:Mage ai Mage ai HTTP Request Timeout Defaults
- Heuristic:ArroyoSystems Arroyo Batch Size And Backpressure
- Heuristic:ARISE Initiative Robomimic BatchNorm To GroupNorm For EMA
- Heuristic:PacktPublishing LLM Engineers Handbook Dataset Generation Quality Filters
Environments
- Environment:Duckdb Duckdb Release Publishing Env
- Environment:Neuml Txtai Python Core Environment
- Environment:Evidentlyai Evidently SQL Storage Environment
- Environment:Huggingface Open r1 Slurm Cluster
- Environment:Online ml River Python Runtime Environment
- Environment:OpenGVLab InternVL PyTorch CUDA
- Environment:TobikoData Sqlmesh Dbt Compatibility
- Environment:Huggingface Diffusers Quantization Environment
- Environment:Openai Evals OpenAI API Configuration
- Environment:DataTalksClub Data engineering zoomcamp Dlt BigQuery Environment