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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:Ggml org Ggml MNIST Training And Evaluation
- Workflow:Volcengine Verl Vision Language Model RL Training
- Workflow:Haifengl Smile Nearest Neighbor Search
- Workflow:Apache Druid Visual Data Exploration
- Workflow:NVIDIA DALI Video Processing Pipeline
- Workflow:Duckdb Duckdb Building From Source
- Workflow:Pola rs Polars Data IO and Format Conversion
- Workflow:Microsoft Onnxruntime Nodejs Inference
- Workflow:Snorkel team Snorkel Weak Supervision Pipeline
- Workflow:Apache Druid Streaming Ingestion Management
Principles
- Principle:AUTOMATIC1111 Stable diffusion webui UI Architecture
- Principle:Marker Inc Korea AutoRAG Corpus Instantiation
- Principle:SeldonIO Seldon core Monitoring Pipeline Validation
- Principle:Haosulab ManiSkill Domain Randomization
- Principle:Huggingface Diffusers ControlNet Output Refinement
- Principle:Cypress io Cypress Launchpad Initialization
- Principle:Confident ai Deepeval Golden Generation from Contexts
- Principle:Scikit learn Scikit learn Robust Regression
- Principle:Online ml River Online Nearest Neighbors
- Principle:Onnx Onnx Graph Assembly
Implementations
- Implementation:Rapidsai Cuml Tree SHAP
- Implementation:Farama Foundation Gymnasium Tuple Space
- Implementation:Ollama Ollama PullModel
- Implementation:Haosulab ManiSkill Pose
- Implementation:Triton inference server Server L0 Rate Limiter Test
- Implementation:Apache Kafka CoordinatorLoaderImpl Load
- Implementation:Vibrantlabsai Ragas EvaluationDataset From List
- Implementation:Explodinggradients Ragas PromptMixin Save Load
- Implementation:Google deepmind Mujoco CI Build Workflow
- Implementation:ArroyoSystems Arroyo Udf Edit Tab
Heuristics
- Heuristic:Intel Ipex llm LoRA Target All Linear Layers
- Heuristic:Google deepmind Dm control Warning Deprecated Legacy Base Walker
- Heuristic:Mlflow Mlflow Model Signature Inference Tips
- Heuristic:Microsoft Agent framework Declaration Only Tools Pattern
- Heuristic:Predibase Lorax Quantization Backend Selection
- Heuristic:Apache Shardingsphere Worker ID Reservation Strategy
- Heuristic:TobikoData Sqlmesh Snapshot TTL Defaults
- Heuristic:Confident ai Deepeval Async Concurrency Tuning
- Heuristic:Scikit learn contrib Imbalanced learn Sampling Before Split Leakage
- Heuristic:Openai Openai python Warning Deprecated Legacy Response
Environments
- Environment:InternLM Lmdeploy CUDA GPU Runtime
- Environment:Langchain ai Langgraph Docker Deployment Environment
- Environment:Allenai Open instruct vLLM Inference
- Environment:Speechbrain Speechbrain Speech Enhancement Dependencies
- Environment:Isaac sim IsaacGymEnvs Pip Dependencies
- Environment:Anthropics Anthropic sdk python AWS Bedrock Environment
- Environment:ClickHouse ClickHouse Linux Build Environment
- Environment:Alibaba ROLL vLLM Inference Environment
- Environment:Mistralai Client python Python SDK Environment
- Environment:Nightwatchjs Nightwatch BrowserStack Cloud