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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:Huggingface Datatrove Synthetic Data Generation
- Workflow:Mbzuai oryx Awesome LLM Post training Research Trend Analysis
- Workflow:Mlc ai Web llm Function Calling
- Workflow:Liu00222 Open Prompt Injection Detection Localization Defense
- Workflow:DataTalksClub Data engineering zoomcamp dlt Data Ingestion
- Workflow:Obss Sahi Sliced Inference Pipeline
- Workflow:Danijar Dreamerv3 Distributed Parallel Training
- Workflow:OpenBMB UltraFeedback GPT4 Preference Annotation
- Workflow:SeleniumHQ Selenium Selenium Grid Deployment
- Workflow:Apache Hudi Docker Demo Setup
Principles
- Principle:Farama Foundation Gymnasium Interactive Human Play
- Principle:ClickHouse ClickHouse Stateless Test Execution
- Principle:Cleanlab Cleanlab Identifier Column Issue Detection
- Principle:Kserve Kserve Multi Model Prediction
- Principle:PrefectHQ Prefect Flow Run Querying
- Principle:Scikit learn contrib Imbalanced learn Borderline Oversampling
- Principle:Kornia Kornia Image Stitching
- Principle:Webdriverio Webdriverio BrowserStack Capability Management
- Principle:Iamhankai Forest of Thought Chain of Thought Reasoning
- Principle:Cleanlab Cleanlab Regression Label Quality Scoring
Implementations
- Implementation:SeldonIO Seldon core Seldon Pipeline CRD Multi Modal
- Implementation:Evidentlyai Evidently Legacy Data Drift Preset
- Implementation:Risingwavelabs Risingwave ElasticBulkProcessorAdapter
- Implementation:Langchain ai Langgraph Pregel Algo
- Implementation:LaurentMazare Tch rs Stb Image
- Implementation:NVIDIA TransformerEngine JAX Attention
- Implementation:Cohere ai Cohere python BatchesClient
- Implementation:Eventual Inc Daft DataFrame Where
- Implementation:Online ml River Anomaly SAD
- Implementation:Microsoft Autogen Studio Generate Image Tool
Heuristics
- Heuristic:Cohere ai Cohere python Embed Auto Batching Strategy
- Heuristic:EvolvingLMMs Lab Lmms eval Bootstrap Iteration Optimization
- Heuristic:Huggingface Diffusers Dtype Precision Selection
- Heuristic:Dagster io Dagster Lazy Import Pattern
- Heuristic:Mistralai Client python Retry Backoff Strategy
- Heuristic:Unstructured IO Unstructured Warning Deprecated Staging Base
- Heuristic:NVIDIA NeMo Aligner Warning Deprecated Repository
- Heuristic:Microsoft LoRA Label Smoothing NLG
- Heuristic:InternLM Lmdeploy KV Quantization Tradeoffs
- Heuristic:Mit han lab Llm awq Skip QK Projection Clipping
Environments
- Environment:PacktPublishing LLM Engineers Handbook Unsloth Finetuning Environment
- Environment:DataTalksClub Data engineering zoomcamp Kestra Orchestration Environment
- Environment:Apache Beam Dataflow Streaming Runtime
- Environment:Langchain ai Langchain Unit Test Network Isolation
- Environment:Langgenius Dify Docker Compose Environment
- Environment:Explodinggradients Ragas Python Runtime Environment
- Environment:DataTalksClub Data engineering zoomcamp Docker PostgreSQL Python Environment
- Environment:Spcl Graph of thoughts OpenAI API Access
- Environment:Microsoft Onnxruntime Nodejs Runtime Environment
- Environment:Sdv dev SDV GPU CUDA Support