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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:Langchain ai Langchain Chat Model Invocation
- Workflow:Liu00222 Open Prompt Injection DataSentinel Detection
- Workflow:Microsoft Semantic kernel Agent Conversation And Orchestration
- Workflow:Mistralai Client python Streaming Chat Completion
- Workflow:Groq Groq python Batch Processing
- Workflow:MaterializeInc Materialize Docker Image Build
- Workflow:Apache Hudi Flink Table Clustering
- Workflow:Heibaiying BigData Notes Spark SQL Data Analysis
- Workflow:Shiyu coder Kronos CSV Finetuning
- Workflow:EvolvingLMMs Lab Lmms eval Custom Task Creation
Principles
- Principle:DataExpert io Data engineer handbook Experiment User Assignment
- Principle:Openai Whisper Alignment Head Configuration
- Principle:Deepspeedai DeepSpeed AutoTP Model Saving
- Principle:Mbzuai oryx Awesome LLM Post training Data Export Pipeline
- Principle:Apache Shardingsphere Configuration Parameter Construction
- Principle:Cleanlab Cleanlab Object Detection Visualization
- Principle:Nautechsystems Nautilus trader Portfolio Analysis
- Principle:Guardrails ai Guardrails ValidatorEcosystem
- Principle:Confident ai Deepeval Function Tracing
- Principle:MaterializeInc Materialize Workload Replay
Implementations
- Implementation:Openai Openai agents python Usage Tracking Pattern
- Implementation:Deepspeedai DeepSpeed Evoformer Epilogue Pipelined
- Implementation:Mlc ai Mlc llm Batch Prefill Base
- Implementation:Microsoft Playwright TraceViewer Server
- Implementation:FlagOpen FlagEmbedding BGE VL Flag Dataset
- Implementation:Infiniflow Ragflow CryptoUtil
- Implementation:Farama Foundation Gymnasium CliffWalkingFunctional
- Implementation:ArroyoSystems Arroyo Server Common
- Implementation:Treeverse LakeFS Java SDK Model ResetCreation
- Implementation:Datajuicer Data juicer QueryTopicDetectionMapper
Heuristics
- Heuristic:FlagOpen FlagEmbedding Same Dataset Batching Tip
- Heuristic:Apache Spark Partition Sizing Tips
- Heuristic:DevExpress Testcafe Video Encoding Defaults
- Heuristic:Ggml org Llama cpp GPU Layer Offloading Verification
- Heuristic:PacktPublishing LLM Engineers Handbook Temperature Selection By Task
- Heuristic:Intel Ipex llm DeepSpeed Tensor Parallel Tips
- Heuristic:Huggingface Transformers Gradient Checkpointing Memory Tradeoff
- Heuristic:Bigscience workshop Petals KV Cache Sizing For Attention Types
- Heuristic:ClickHouse ClickHouse Debug Build Tips
- Heuristic:Google research Deduplicate text datasets Ulimit File Descriptors For Merge
Environments
- Environment:Vibrantlabsai Ragas LLM Provider Credentials
- Environment:Puppeteer Puppeteer Node 18 Runtime
- Environment:Lm sys FastChat Python Core Dependencies
- Environment:BerriAI Litellm PostgreSQL Database
- Environment:Teamcapybara Capybara Selenium WebDriver Environment
- Environment:Apache Shardingsphere Etcd Cluster Coordination
- Environment:Openclaw Openclaw Node 22 Runtime
- Environment:Mlc ai Mlc llm Python Serving Environment
- Environment:Pyro ppl Pyro Python PyTorch Core
- Environment:Explodinggradients Ragas Optional Metrics Environment