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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:Openai Openai node Audio Processing
- Workflow:Volcengine Verl Vision Language Model RL Training
- Workflow:Tensorflow Serving Batched Inference Pipeline
- Workflow:Vibrantlabsai Ragas Testset Generation
- Workflow:Heibaiying BigData Notes Storm Topology Development
- Workflow:Getgauge Taiko Gauge Integration Testing
- Workflow:Pyro ppl Pyro VAE Training
- Workflow:Apache Druid SQL Query Execution
- Workflow:ARISE Initiative Robosuite Gymnasium RL Integration
- Workflow:Googleapis Python genai Context Caching
Principles
- Principle:FlowiseAI Flowise Chat History Management
- Principle:OpenGVLab InternVL Vision Language Model Loading
- Principle:Ggml org Ggml Backend Initialization
- Principle:Farama Foundation Gymnasium Functional Environment API
- Principle:Protectai Llm guard Malicious URL Detection
- Principle:Tensorflow Serving Kubernetes Service Query
- Principle:Apache Shardingsphere Exclusive Operation Management
- Principle:Mlc ai Web llm RAG Pipeline
- Principle:ClickHouse ClickHouse Build Hygiene Tools
- Principle:Helicone Helicone Database Schema
Implementations
- Implementation:Datahub project Datahub KafkaEmitter
- Implementation:Scikit learn contrib Imbalanced learn sensitivity specificity support
- Implementation:FlowiseAI Flowise CodeBlock
- Implementation:CrewAIInc CrewAI Oxylabs Amazon Search Tool
- Implementation:OpenGVLab InternVL DDP Communication Hooks
- Implementation:Explodinggradients Ragas InstanceRubrics Metric
- Implementation:Cohere ai Cohere python Source Union
- Implementation:CrewAIInc CrewAI SingleStore Search Tool
- Implementation:Infiniflow Ragflow Canvas Util
- Implementation:Snorkel team Snorkel LabelingFunction Init
Heuristics
- Heuristic:Sgl project Sglang Chunked Prefill OOM Prevention
- Heuristic:PeterL1n BackgroundMattingV2 Backbone Scale Selection
- Heuristic:Princeton nlp Tree of thought llm Global State Token Counting
- Heuristic:Apache Flink Hadoop Thread Safety Mutexes
- Heuristic:Apache Beam Lock Contention Batching
- Heuristic:Bitsandbytes foundation Bitsandbytes Compute Dtype Mismatch Warning
- Heuristic:Infiniflow Ragflow Agent Max Rounds Strategy
- Heuristic:Confident ai Deepeval Async Concurrency Tuning
- Heuristic:Vespa engine Vespa Document Batch Processing Strategy
- Heuristic:Openclaw Openclaw Conservative Error Retry Classification
Environments
- Environment:Kubeflow Kubeflow Git GitHub Environment
- Environment:Tensorflow Serving Python Client Environment
- Environment:Dagster io Dagster DAGSTER HOME Configuration
- Environment:Openai Openai agents python LiteLLM Dependencies
- Environment:DistrictDataLabs Yellowbrick Optional NLP Dependencies
- Environment:Spotify Luigi PostgreSQL Server
- Environment:Nautechsystems Nautilus trader Binance API Credentials
- Environment:AUTOMATIC1111 Stable diffusion webui Python And PyTorch Runtime
- Environment:Turboderp org Exllamav2 CUDA GPU Runtime
- Environment:Alibaba ROLL Megatron Training Environment