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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:Apache Hudi Flink Table Clustering
- Workflow:OpenHands OpenHands GitHub Webhook Event Processing
- Workflow:OpenRLHF OpenRLHF DPO Training
- Workflow:Webdriverio Webdriverio Page Object Pattern
- Workflow:Openai Openai python Fine Tuning Job Management
- Workflow:Nautechsystems Nautilus trader Live trading deployment
- Workflow:SeleniumHQ Selenium Contributor Development Workflow
- Workflow:Mlflow Mlflow Model Logging and Registry
- Workflow:Pytorch Serve LLM Deployment vLLM
- Workflow:Langchain ai Langgraph Building a Stateful Graph
Principles
- Principle:Farama Foundation Gymnasium Discrete Action Space
- Principle:NVIDIA NeMo Curator Bucket to Edge Conversion
- Principle:Lm sys FastChat LLM Prompt Classification
- Principle:Mbzuai oryx Awesome LLM Post training Progressive Json Saving
- Principle:Heibaiying BigData Notes Hive Table Definition
- Principle:Microsoft LoRA Parameter Freezing
- Principle:Googleapis Python genai Tuning Job Launch
- Principle:Ggml org Llama cpp Model Inspection
- Principle:Deepspeedai DeepSpeed Pipeline Evaluation
- Principle:Langgenius Dify Node Graph Composition
Implementations
- Implementation:Speechbrain Speechbrain Tacotron2 Inference Pipeline
- Implementation:Treeverse LakeFS Java SDK Model RevertCreation
- Implementation:Infiniflow Ragflow Frontend Routes
- Implementation:Evidentlyai Evidently Legacy Sentiment Feature
- Implementation:Allenai Open instruct OLMo2 1124 Dev Scripts
- Implementation:Intel Ipex llm NPU Model Convert
- Implementation:Microsoft Autogen FunctionTool Init
- Implementation:Huggingface Optimum Initialize Parameter Meta
- Implementation:Hiyouga LLaMA Factory Base Engine
- Implementation:Openai Openai node ResponsesParser
Heuristics
- Heuristic:Openai CLIP Template Ensemble For Zero Shot
- Heuristic:Facebookresearch Habitat lab VER Tuning Guidelines
- Heuristic:Infiniflow Ragflow Citation Threshold Decay
- Heuristic:Datahub project Datahub Batch Size And Timeout Tuning
- Heuristic:LMCache LMCache Health Monitor Thresholds
- Heuristic:Neuml Txtai Memory Streaming Optimization
- Heuristic:Explodinggradients Ragas Failed Metrics Return NaN
- Heuristic:Huggingface Peft LoRA Initialization Strategy Selection
- Heuristic:Confident ai Deepeval Dotenv Loading Order
- Heuristic:Iamhankai Forest of Thought Self Correction Confidence Threshold
Environments
- Environment:InternLM Lmdeploy CUDA GPU Runtime
- Environment:Apache Beam Dataflow Streaming Runtime
- Environment:Dagster io Dagster Python 3 10 Runtime
- Environment:Obss Sahi Python Detection Frameworks
- Environment:Explodinggradients Ragas Optional Metrics Environment
- Environment:Openai Openai node OpenAI API Credentials
- Environment:Liu00222 Open Prompt Injection CUDA Environment
- Environment:Openai Openai python Voice Helpers
- Environment:Neuml Txtai Docker Deployment Environment
- Environment:Treeverse LakeFS Go Runtime Environment