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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:Datajuicer Data juicer Distributed Ray Processing
- Workflow:Apache Druid Streaming Ingestion Management
- Workflow:Groq Groq python Text Embedding
- Workflow:LLMBook zh LLMBook zh github io LLM Pretraining
- Workflow:ARISE Initiative Robomimic Training Policy From Demonstrations
- Workflow:Huggingface Transformers PEFT Adapter Integration
- Workflow:Confident ai Deepeval LLM Tracing and Observability
- Workflow:Protectai Modelscan Programmatic Model Scanning
- Workflow:PacktPublishing LLM Engineers Handbook Feature Engineering
- Workflow:DataExpert io Data engineer handbook Flink Kafka Streaming Pipeline
Principles
- Principle:Helicone Helicone Cross Provider Transform
- Principle:Cleanlab Cleanlab Datalab Regression Label Issue Detection
- Principle:Unslothai Unsloth Vision Model Loading
- Principle:Ggml org Llama cpp Model Inspection
- Principle:Openai CLIP Top K Accuracy Evaluation
- Principle:LLMBook zh LLMBook zh github io Quality Filtering
- Principle:Ggml org Llama cpp Jinja Template Engine
- Principle:Puppeteer Puppeteer Browser Lifecycle Management
- Principle:Allenai Open instruct Model Publishing
- Principle:Zai org CogVideo Distributed Training Setup
Implementations
- Implementation:ArroyoSystems Arroyo Jobs Api
- Implementation:Openai Openai python Chat Completion Response
- Implementation:Vibrantlabsai Ragas ChrfScoreV2
- Implementation:FlowiseAI Flowise GetNodesByCategory
- Implementation:Langgenius Dify UpdateAppModelConfig
- Implementation:Online ml River Anomaly QuantileFilter
- Implementation:Mlflow Mlflow Set Destination
- Implementation:FlowiseAI Flowise ConditionDialog
- Implementation:Huggingface Open r1 Get Dataset
- Implementation:Openai Openai python Responses Create
Heuristics
- Heuristic:Openai Whisper KV Cache Optimization
- Heuristic:SeldonIO Seldon core Kafka Partition Throughput Tip
- Heuristic:Mlc ai Mlc llm Optimization Level Selection
- Heuristic:Nautechsystems Nautilus trader Parquet Row Group Tuning
- Heuristic:Huggingface Open r1 Test Batch Early Termination
- Heuristic:VainF Torch Pruning Over Pruning Prevention
- Heuristic:Mage ai Mage ai Record Deduplication Before Batch Export
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix CuDNN Benchmark Scale Width
- Heuristic:Tensorflow Serving Batching Thread Tuning
- Heuristic:Vibrantlabsai Ragas Temperature Sampling Strategy
Environments
- Environment:FlowiseAI Flowise Docker Environment
- Environment:Openclaw Openclaw Node 22 Runtime
- Environment:Lance format Lance SIMD And Platform Requirements
- Environment:Cohere ai Cohere python Python SDK Runtime
- Environment:Openai Evals Optional Provider APIs
- Environment:Vibrantlabsai Ragas Optional NLP Metrics Environment
- Environment:Mage ai Mage ai Singer SDK And Joblib Runtime
- Environment:Guardrails ai Guardrails LLM Provider API Keys
- Environment:Unslothai Unsloth Python Transformers
- Environment:Apache Dolphinscheduler Database Backend