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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:Googleapis Python genai Multimodal Content Generation
- Workflow:Googleapis Python genai Model Fine Tuning
- Workflow:Cohere ai Cohere python Text Embedding
- Workflow:ClickHouse ClickHouse Server Deployment
- Workflow:Kornia Kornia Edge Detection Pipeline
- Workflow:Unstructured IO Unstructured Chunking And Embedding
- Workflow:Rapidsai Cuml Random Forest Training And Inference
- Workflow:Spotify Luigi Central Scheduler Deployment
- Workflow:Openclaw Openclaw Gateway Operations And Diagnostics
- Workflow:Sdv dev SDV Sequential data synthesis
Principles
- Principle:Promptfoo Promptfoo Evaluation Execution
- Principle:Huggingface Trl SFT Model Saving
- Principle:Webdriverio Webdriverio AutomaticDriverManagement
- Principle:Langchain ai Langchain Standard Unit Testing
- Principle:Alibaba ROLL LLM Response Generation
- Principle:Langchain ai Langgraph Task Composition
- Principle:AUTOMATIC1111 Stable diffusion webui Fair Task Scheduling
- Principle:Apache Kafka Connect Distributed Invocation
- Principle:Speechbrain Speechbrain Speaker Diarization Pipeline
- Principle:Volcengine Verl Multimodal Rollout Generation
Implementations
- Implementation:Openai Openai python Shared All Models
- Implementation:Ray project Ray ActorTaskCaller
- Implementation:Togethercomputer Together python Batch Request Format
- Implementation:Infiniflow Ragflow FloatingChatWidgetMarkdown Component
- Implementation:Microsoft Playwright LocatorGenerators
- Implementation:Huggingface Datasets Eval Builder
- Implementation:Lance format Lance Java WriteParams
- Implementation:Run llama Llama index Command Line Mappings
- Implementation:TobikoData Sqlmesh SelectEnvironment
- Implementation:Datajuicer Data juicer SuffixFilter
Heuristics
- Heuristic:Getgauge Taiko Element Actionability Checks
- Heuristic:Princeton nlp Tree of thought llm Global State Token Counting
- Heuristic:AnswerDotAI RAGatouille In Memory Reranking Limits
- Heuristic:Ggml org Ggml Memory Allocation Strategy
- Heuristic:Alibaba MNN Weight Quantization Strategy
- Heuristic:Langgenius Dify Credential Sanitization In API Responses
- Heuristic:Iamhankai Forest of Thought Self Correction Confidence Threshold
- Heuristic:PrefectHQ Prefect SQLite Performance Tuning
- Heuristic:Arize ai Phoenix Environment Variable Precedence
- Heuristic:Mlc ai Web llm Multi Round KV Cache Reuse
Environments
- Environment:Isaac sim IsaacGymEnvs Python CUDA Runtime
- Environment:Online ml River Python Runtime Environment
- Environment:Microsoft BIPIA OpenAI API Environment
- Environment:Langfuse Langfuse S3 Compatible Storage
- Environment:Mlflow Mlflow Python Runtime Environment
- Environment:Sail sg LongSpec Inference Environment
- Environment:Hiyouga LLaMA Factory Core Python GPU Environment
- Environment:Neuml Txtai Python Core Dependencies
- Environment:Evidentlyai Evidently LLM Evaluation Environment
- Environment:CARLA simulator Carla Python API Runtime