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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:Wandb Weave SDK Release
- Workflow:Roboflow Rf detr Object Detection Inference
- Workflow:Princeton nlp Tree of thought llm Adding new task
- Workflow:Microsoft Autogen Graph Based Agent Orchestration
- Workflow:Gretelai Gretel synthetics ACTGAN Tabular Synthesis
- Workflow:HKUDS AI Trader Agent Decision Loop
- Workflow:Huggingface Alignment handbook QLoRA Single GPU Finetuning
- Workflow:Mlc ai Web llm Chrome Extension Integration
- Workflow:Langfuse Langfuse Prompt management lifecycle
- Workflow:Google deepmind Mujoco Simulation benchmarking
Principles
- Principle:Microsoft DeepSpeedExamples Baseline PyTorch Training
- Principle:Guardrails ai Guardrails Observability
- Principle:Treeverse LakeFS Java SDK Client Configuration
- Principle:Duckdb Duckdb HTTP Communication
- Principle:Facebookresearch Habitat lab HRL Configuration Composition
- Principle:Testtimescaling Testtimescaling github io Citation Registration
- Principle:LLMBook zh LLMBook zh github io Mixture of Experts Routing
- Principle:Alibaba ROLL MCoreAdapter Training Entry Point
- Principle:Sdv dev SDV Demo Data Loading
- Principle:Webdriverio Webdriverio Configuration Design
Implementations
- Implementation:Langchain ai Langchain BaseStoreTests
- Implementation:Langchain ai Langgraph InMemorySaver Init
- Implementation:Haosulab ManiSkill PickSingleYCB
- Implementation:Avhz RustQuant Asian Backend
- Implementation:Elevenlabs Elevenlabs python VerificationAttemptResponse
- Implementation:Axolotl ai cloud Axolotl Pyproject Config
- Implementation:Eventual Inc Daft Setup Logger
- Implementation:Farama Foundation Gymnasium VectorEnv Step Reset
- Implementation:Scikit learn Scikit learn NMF
- Implementation:Datajuicer Data juicer RemoveWordsWithIncorrectSubstringsMapper
Heuristics
- Heuristic:CARLA simulator Carla Client Server Version Match
- Heuristic:SqueezeAILab ETS Max Depth And Token Guards
- Heuristic:Webdriverio Webdriverio Default Timeout Configuration
- Heuristic:Datajuicer Data juicer Operator Fusion Rules
- Heuristic:DevExpress Testcafe Docker Chrome Tab Retry
- Heuristic:ARISE Initiative Robosuite Observation Key Selection
- Heuristic:Nautechsystems Nautilus trader Parquet Row Group Tuning
- Heuristic:Openai Openai node RunTools Loop Limit
- Heuristic:Pola rs Polars Use Spawn Not Fork Multiprocessing
- Heuristic:Iamhankai Forest of Thought Tree Iteration Scaling
Environments
- Environment:SeldonIO Seldon core Docker Compose Local Environment
- Environment:TobikoData Sqlmesh Web UI Stack
- Environment:Facebookresearch Habitat lab CUDA GPU Training Environment
- Environment:Vibrantlabsai Ragas Google Drive Backend Environment
- Environment:Getgauge Taiko Docker Container
- Environment:Huggingface Datasets TensorFlow Integration
- Environment:ChenghaoMou Text dedup Suffix Array External Tools
- Environment:Tensorflow Tfjs Node Native Runtime
- Environment:CarperAI Trlx NeMo Megatron
- Environment:Gretelai Gretel synthetics Python Base Environment