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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:OpenGVLab InternVL Supervised Finetuning
- Workflow:Norrrrrrr lyn WAInjectBench Image Prompt Injection Detection
- Workflow:Arize ai Phoenix Prompt Management Pipeline
- Workflow:Vibrantlabsai Ragas Experiment Driven Development
- Workflow:Mlc ai Mlc llm Python Engine Inference
- Workflow:Dagster io Dagster LLM Fine Tuning
- Workflow:Isaac sim IsaacGymEnvs RL Policy Training
- Workflow:Confident ai Deepeval LLM Tracing and Observability
- Workflow:BerriAI Litellm Fine Tuning Job
- Workflow:Microsoft Agent framework Declarative Agent Definition
Principles
- Principle:Tencent Ncnn Vulkan Build Configuration
- Principle:FlagOpen FlagEmbedding Reinforced Domain Adaptation
- Principle:Princeton nlp Tree of thought llm Task Interface Design
- Principle:Huggingface Datasets SQL Dataset Building
- Principle:Openai Whisper Evaluation Benchmarking
- Principle:Guardrails ai Guardrails Observability
- Principle:Langchain ai Langgraph Store Access In Nodes
- Principle:Astronomer Astronomer cosmos DAG Rendering
- Principle:Apache Spark K8s Prerequisites Verification
- Principle:DistrictDataLabs Yellowbrick Feature Ranking
Implementations
- Implementation:Googleapis Python genai Interactions BaseClient
- Implementation:Huggingface Optimum Is Backend Available
- Implementation:Microsoft Autogen Studio Gallery Detail
- Implementation:Lance format Lance Java SQBuildParams
- Implementation:Apache Kafka Kafka Run Class JVM Options
- Implementation:Langfuse Langfuse StorageService UploadFile
- Implementation:Datahub project Datahub Pytest Test Weights
- Implementation:Open compass VLMEvalKit LongVITA
- Implementation:Google deepmind Dm control Jumping Ball
- Implementation:DevExpress Testcafe Runner Run
Heuristics
- Heuristic:LaurentMazare Tch rs MPS Weight Loading Workaround
- Heuristic:SeldonIO Seldon core Over Commit Memory Tip
- Heuristic:Elevenlabs Elevenlabs python Audio Buffer Sizes
- Heuristic:VainF Torch Pruning Over Pruning Prevention
- Heuristic:SqueezeAILab ETS Thread Parallelism Suppression
- Heuristic:Cleanlab Cleanlab KNN Distance Metric Selection
- Heuristic:LaurentMazare Tch rs CuDNN Benchmark Mode
- Heuristic:Infiniflow Ragflow Reranking Weight Tuning
- Heuristic:SeleniumHQ Selenium Explicit Over Implicit Waits
- Heuristic:Apache Spark Build Fallback Strategies
Environments
- Environment:ArroyoSystems Arroyo Kubernetes Deployment
- Environment:Getgauge Taiko Linux System Libraries
- Environment:Vibrantlabsai Ragas Optional NLP Metrics Environment
- Environment:Alibaba MNN GPU CUDA Environment
- Environment:Google deepmind Mujoco MJX JAX Environment
- Environment:Unstructured IO Unstructured GitHub Actions
- Environment:Roboflow Rf detr Roboflow Deployment Credentials
- Environment:Shiyu coder Kronos Qlib Data Environment
- Environment:Cleanlab Cleanlab Image Quality Dependencies
- Environment:Vllm project Vllm CUDA Runtime