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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:Lance format Lance Version Management
- Workflow:Teamcapybara Capybara RSpec Integration Setup
- Workflow:Mage ai Mage ai Building a New Source Connector
- Workflow:Bigscience workshop Petals Prompt Tuning Classification
- Workflow:Zai org CogVideo Diffusers Text to Video Inference
- Workflow:Apache Hudi Flink MOR Compaction
- Workflow:Spotify Luigi Central Scheduler Deployment
- Workflow:Apache Druid SQL Query Execution
- Workflow:CARLA simulator Carla Simulation Setup and First Steps
- Workflow:Guardrails ai Guardrails Streaming Validation
Principles
- Principle:Elevenlabs Elevenlabs python Text to Speech Conversion
- Principle:Apache Kafka Topic Description
- Principle:Puppeteer Puppeteer Platform Detection
- Principle:Huggingface Datasets Feature Type Definition
- Principle:LaurentMazare Tch rs Error Handling
- Principle:Online ml River CSV Stream Ingestion
- Principle:Kubeflow Pipelines KFP UI Access
- Principle:TobikoData Sqlmesh Data Exploration And Validation
- Principle:Vespa engine Vespa Document Operation Reception
- Principle:Pyro ppl Pyro Global Configuration
Implementations
- Implementation:Apache Dolphinscheduler WorkflowEngine Start
- Implementation:Ucbepic Docetl Directive ArbitraryRewrite
- Implementation:Apache Spark Build Mvn
- Implementation:Unslothai Unsloth GEMM Autotuning Configs
- Implementation:Sdv dev SDV BaseSynthesizer Add Constraints
- Implementation:Open compass VLMEvalKit VarcoVision
- Implementation:Langgenius Dify Feature Types
- Implementation:Cohere ai Cohere python RequestOptions
- Implementation:Evidentlyai Evidently Legacy Non Letter Char Feature
- Implementation:Ucbepic Docetl ExperimentSimpleAgent
Heuristics
- Heuristic:Snorkel team Snorkel Minimum Three LFs
- Heuristic:Rapidsai Cuml GPU Cache Alignment
- Heuristic:Romsto Speculative Decoding Seed Fixing For Reproducibility
- Heuristic:Arize ai Phoenix Warning Deprecated HallucinationEvaluator
- Heuristic:DistrictDataLabs Yellowbrick Scikit Learn API Compatibility
- Heuristic:Apache Kafka Coordinator Loading Commit Interval
- Heuristic:Microsoft LoRA LoRA Init Strategy
- Heuristic:Openai Whisper No Speech Detection
- Heuristic:Avdvg InjectGuard Module Level Initialization
- Heuristic:HKUDS AI Trader Position File Locking
Environments
- Environment:Helicone Helicone Node 20 TypeScript Runtime
- Environment:Openai Whisper FFmpeg
- Environment:OpenHands OpenHands Integration Credentials
- Environment:Haotian liu LLaVA OpenAI API Evaluation Environment
- Environment:Langfuse Langfuse Node 24 Runtime
- Environment:Microsoft LoRA PyTorch CUDA Environment
- Environment:BerriAI Litellm PostgreSQL Database
- Environment:ThreeSR Awesome Inference Time Scaling Git CLI Environment
- Environment:Vllm project Vllm Distributed
- Environment:Junyanz Pytorch CycleGAN and pix2pix DDP Multi GPU