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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:Cypress io Cypress E2E Test Execution
- Workflow:Openai Openai node Audio Processing
- Workflow:Cypress io Cypress CI Pipeline Integration
- Workflow:Eric mitchell Direct preference optimization DPO Preference Training
- Workflow:Datajuicer Data juicer LLM Powered Data Generation
- Workflow:Togethercomputer Together python Chat Completion
- Workflow:Apache Kafka Broker Startup
- Workflow:Microsoft Semantic kernel Agent Conversation And Orchestration
- Workflow:Anthropics Anthropic sdk python Tool Use Integration
- Workflow:Apache Airflow Core Release Process
Principles
- Principle:Apache Spark Distribution Packaging
- Principle:Openai Evals Remote Result Storage
- Principle:FlagOpen FlagEmbedding LLM Reranker Training
- Principle:DataExpert io Data engineer handbook Tumbling Window
- Principle:Triton inference server Server Resource Management Testing
- Principle:Junyanz Pytorch CycleGAN and pix2pix Dataset Pair Alignment
- Principle:Openai Openai agents python Result Extraction
- Principle:Webdriverio Webdriverio HookLifecycle
- Principle:Apache Hudi Split Enumeration And Assignment
- Principle:Huggingface Datasets Progress Reporting
Implementations
- Implementation:Microsoft LoRA Run PLM
- Implementation:Microsoft Agent framework AgentExecutor Init
- Implementation:Run llama Llama index PromptTemplate
- Implementation:Langfuse Langfuse SlackService
- Implementation:Apache Airflow Database Connection Config
- Implementation:Datajuicer Data juicer GenerateQAFromTextMapper Process
- Implementation:Open compass VLMEvalKit Chameleon
- Implementation:AUTOMATIC1111 Stable diffusion webui DDPM V1 Diffusion Model
- Implementation:FlowiseAI Flowise MainRoutes
- Implementation:Bentoml BentoML Bentos Export Import
Heuristics
- Heuristic:Unstructured IO Unstructured Chunk Size Tuning
- Heuristic:NVIDIA DALI Warning Deprecated C API V1 Functions
- Heuristic:Bentoml BentoML Warning Deprecated Runner Class
- Heuristic:Sdv dev SDV Sampling Retry Tuning
- Heuristic:Fede1024 Rust rdkafka Multi Version Dependency Hazard
- Heuristic:Huggingface Transformers Mixed Precision Training Selection
- Heuristic:Treeverse LakeFS Batch Delay Tuning
- Heuristic:ArroyoSystems Arroyo Batch Size And Backpressure
- Heuristic:PeterL1n BackgroundMattingV2 Training Batch Size And Resolution
- Heuristic:DataExpert io Data engineer handbook Watermark Late Arrival Tolerance
Environments
- Environment:Hpcaitech ColossalAI CUDA GPU Environment
- Environment:BerriAI Litellm Observability Stack
- Environment:Pyro ppl Pyro Visualization Tools
- Environment:Wandb Weave LLM Integration Dependencies
- Environment:Cypress io Cypress Node Runtime Environment
- Environment:Promptfoo Promptfoo SQLite Database
- Environment:Tensorflow Tfjs Python Converter
- Environment:Vllm project Vllm GitHub
- Environment:Mistralai Client python Realtime Transcription Environment
- Environment:Sgl project Sglang Python Dependencies