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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 |
Explore Pages
Workflows
- Workflow:Run llama Llama index Data Ingestion Pipeline
- Workflow:Liu00222 Open Prompt Injection Prompt Injection Experiment
- Workflow:OpenRLHF OpenRLHF PPO Ray Training
- Workflow:Bitsandbytes foundation Bitsandbytes 8bit LLM Int8 Inference
- Workflow:Datahub project Datahub Metadata Actions Pipeline
- Workflow:Sdv dev SDV Sequential data synthesis
- Workflow:Open compass VLMEvalKit Image Benchmark Evaluation
- Workflow:DataExpert io Data engineer handbook PySpark Job Testing
- Workflow:Fede1024 Rust rdkafka Async Stream Processing
- Workflow:Zai org CogVideo Diffusers Image to Video Inference
Principles
- Principle:Huggingface Datatrove Language Filtering
- Principle:MaterializeInc Materialize Container Registry Publishing
- Principle:Allenai Open instruct vLLM Async Generation
- Principle:Heibaiying BigData Notes Kafka Message Polling
- Principle:Isaac sim IsaacGymEnvs Results Collection
- Principle:Lance format Lance Row Level Updates
- Principle:Apache Shardingsphere YAML Configuration Definition
- Principle:Anthropics Anthropic sdk python Message Request Construction
- Principle:Huggingface Trl GRPO Model Saving
- Principle:Volcengine Verl Value Loss Optimization
Implementations
- Implementation:Fede1024 Rust rdkafka Roundtrip Latency Example
- Implementation:Pytorch Serve SAM Fast Handler
- Implementation:FlagOpen FlagEmbedding FlagDRESModel
- Implementation:OpenHands OpenHands LinearIntegrationStore
- Implementation:Microsoft Semantic kernel OpenApi TestPlugin MessagesOpenAPI
- Implementation:Zai org CogVideo Pipeline CPU Offload
- Implementation:ArroyoSystems Arroyo Catalog Component
- Implementation:AUTOMATIC1111 Stable diffusion webui DDPM Edit Model
- Implementation:PeterL1n BackgroundMattingV2 HomographicAlignment
- Implementation:Huggingface Datatrove ZstdMediaReader
Heuristics
- Heuristic:Datahub project Datahub Validation Across All APIs
- Heuristic:Elevenlabs Elevenlabs python VAD vs Manual Commit Strategy
- Heuristic:Cleanlab Cleanlab Object Detection Scoring Constants
- Heuristic:HKUDS AI Trader DeepSeek Tool Args Workaround
- Heuristic:Cypress io Cypress Timeout Tuning
- Heuristic:Gretelai Gretel synthetics Parallel Generation CUDA Disable
- Heuristic:Intel Ipex llm Use Cache Training Vs Inference
- Heuristic:Kubeflow Kubeflow Stale Issue Lifecycle Management
- Heuristic:Duckdb Duckdb Build Parallelism Tuning
- Heuristic:Unstructured IO Unstructured Golden File Diff
Environments
- Environment:Huggingface Transformers PEFT Adapter Env
- Environment:Apache Flink Hadoop Compatibility Environment
- Environment:Confident ai Deepeval LLM Provider Credentials
- Environment:Microsoft LoRA NLG Eval External Tools
- Environment:Apache Airflow Database Backend Environment
- Environment:Huggingface Alignment handbook Python Datasets
- Environment:Intel Ipex llm vLLM XPU Serving Environment
- Environment:ChenghaoMou Text dedup Python 3 12 Environment
- Environment:Mlc ai Mlc llm WebGPU Browser Environment
- Environment:Online ml River Python Runtime Environment