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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:Romsto Speculative Decoding Interactive CLI Comparison
- Workflow:Neuml Txtai Agent Execution
- Workflow:Truera Trulens Custom App Instrumentation And Evaluation
- Workflow:Langchain ai Langgraph CLI Deployment
- Workflow:Interpretml Interpret EBM Model Merging
- Workflow:ChenghaoMou Text dedup SimHash Deduplication
- Workflow:FlagOpen FlagEmbedding Benchmark Evaluation
- Workflow:Guardrails ai Guardrails Structured Data Generation
- Workflow:Hpcaitech ColossalAI Model Evaluation
- Workflow:Openai Openai agents python Guardrails Secured Agent
Principles
- Principle:Microsoft Onnxruntime Distributed Training Loop
- Principle:Heibaiying BigData Notes Hive Table Definition
- Principle:Diagram of thought Diagram of thought Convergence Assessment
- Principle:AUTOMATIC1111 Stable diffusion webui Memory Efficient Loading
- Principle:Mistralai Client python SDK Installation
- Principle:PacktPublishing LLM Engineers Handbook Pipeline Reporting
- Principle:ClickHouse ClickHouse Code Coverage Collection
- Principle:Apache Druid Visual Filter Configuration
- Principle:Huggingface Datatrove Distributed Inference Orchestration
- Principle:Openai Openai node Parsed Output Consumption
Implementations
- Implementation:FlowiseAI Flowise Input
- Implementation:ARISE Initiative Robosuite MinkController
- Implementation:Microsoft Playwright FfExecutionContext
- Implementation:Hpcaitech ColossalAI ExperienceMakerHolder
- Implementation:Open compass VLMEvalKit CCOCR Doc Parsing Evaluator
- Implementation:CrewAIInc CrewAI Code Docs Search Tool
- Implementation:Ggml org Llama cpp Memory Recurrent Header
- Implementation:SeleniumHQ Selenium Civetweb API
- Implementation:Obss Sahi Download Rtdetr Model
- Implementation:SqueezeAILab ETS Result Serialization
Heuristics
- Heuristic:Fede1024 Rust rdkafka Transaction Error Recovery
- Heuristic:TA Lib Ta lib python STOCHRSI Vs STOCH RSI
- Heuristic:Hiyouga LLaMA Factory Mixed Precision Training Tips
- Heuristic:Treeverse LakeFS S3 Multipart Size Constraint
- Heuristic:Turboderp org Exllamav2 Attention Backend Selection
- Heuristic:OpenBMB UltraFeedback GPU Memory Utilization
- Heuristic:Mlflow Mlflow Prompt Cache Tuning
- Heuristic:Apache Airflow Variable Access Pattern
- Heuristic:Facebookresearch Habitat lab Force Single Threaded PyTorch
- Heuristic:Langgenius Dify API Token Single Flight Caching
Environments
- Environment:Predibase Lorax Docker Container Runtime
- Environment:Hpcaitech ColossalAI ColossalChat Training Environment
- Environment:Recommenders team Recommenders Spark Environment
- Environment:Tensorflow Serving Build Environment
- Environment:ARISE Initiative Robomimic HuggingFace Hub Dependencies
- Environment:LMCache LMCache Python Runtime
- Environment:Huggingface Trl DeepSpeed Environment
- Environment:Junyanz Pytorch CycleGAN and pix2pix DDP Multi GPU
- Environment:Vespa engine Vespa POSIX Mmap Log Control
- Environment:Ucbepic Docetl Python Runtime