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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:Roboflow Rf detr Custom Dataset Finetuning
- Workflow:Webdriverio Webdriverio Custom Plugin Development
- Workflow:Togethercomputer Together python Chat Completion
- Workflow:Unstructured IO Unstructured Performance Profiling
- Workflow:Zai org CogVideo Video Editing DDIM Inversion
- Workflow:Explodinggradients Ragas RAG Evaluation
- Workflow:Apache Beam Twister2 Batch Execution
- Workflow:Spotify Luigi Central Scheduler Deployment
- Workflow:Rapidsai Cuml GPU Clustering
- Workflow:PacktPublishing LLM Engineers Handbook Model Evaluation
Principles
- Principle:Puppeteer Puppeteer Browser Context Isolation
- Principle:Openai Openai python Fine Tuning Job Creation
- Principle:Vespa engine Vespa Initial Configuration Fetch
- Principle:Guardrails ai Guardrails ValidationPipeline
- Principle:Teamcapybara Capybara Selector Definition
- Principle:Wandb Weave Dataset Preparation
- Principle:Online ml River Pipeline Composition
- Principle:Microsoft Playwright Set Up Network Route Handlers
- Principle:OpenRLHF OpenRLHF KTO Training
- Principle:Predibase Lorax Continuous Batching Inference
Implementations
- Implementation:Speechbrain Speechbrain Get Verification Scores
- Implementation:LaurentMazare Tch rs PyObject Tensor Bridge
- Implementation:Kubeflow Kubeflow Istio Certmanager Dex Setup
- Implementation:Nightwatchjs Nightwatch Page Object Module Definition
- Implementation:FlowiseAI Flowise CredentialInputHandler
- Implementation:FlowiseAI Flowise UpdateChatflow Security
- Implementation:Scikit learn contrib Imbalanced learn estimator checks
- Implementation:Puppeteer Puppeteer HttpUtil
- Implementation:Allenai Open instruct TokenizerConfig
- Implementation:Evidentlyai Evidently Legacy Word Count Feature
Heuristics
- Heuristic:Spcl Graph of thoughts Four Bit Quantization For Local LLMs
- Heuristic:ClickHouse ClickHouse Debug Build Tips
- Heuristic:Huggingface Datasets Num Proc Guidelines
- Heuristic:Sdv dev SDV HMA Schema Simplification
- Heuristic:Mbzuai oryx Awesome LLM Post training Reference Citation Cap 200
- Heuristic:Onnx Onnx External Data Path Security
- Heuristic:Langfuse Langfuse Ingestion Date Boundary Delay
- Heuristic:Intel Ipex llm QLoRA Training Hyperparameters
- Heuristic:Kubeflow Pipelines Cache Staleness In Recursive Pipelines
- Heuristic:Mbzuai oryx Awesome LLM Post training Paper Deduplication Via Dict
Environments
- Environment:Mbzuai oryx Awesome LLM Post training Git CLI
- Environment:Dagster io Dagster Python 3 10 Runtime
- Environment:TA Lib Ta lib python TA Lib C Library
- Environment:FlowiseAI Flowise Database Environment
- Environment:Microsoft Onnxruntime Python Inference Environment
- Environment:Kubeflow Pipelines Kubernetes Cluster
- Environment:Volcengine Verl CUDA GPU Environment
- Environment:Microsoft Autogen Python Runtime Environment
- Environment:HKUDS AI Trader Browser Runtime
- Environment:Ray project Ray CI Build Matrix Environment