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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:Huggingface Optimum GPTQ Quantization
- Workflow:Googleapis Python genai Function Calling and Tools
- Workflow:Anthropics Anthropic sdk python Tool Use Integration
- Workflow:Datahub project Datahub CLI Metadata Ingestion
- Workflow:Iterative Dvc Experiment Tracking
- Workflow:Google deepmind Mujoco GPU batched simulation MJX
- Workflow:Volcengine Verl Supervised Fine Tuning
- Workflow:Microsoft Autogen Swarm Agent Handoff
- Workflow:Eventual Inc Daft Data Lakehouse ETL
- Workflow:Cleanlab Cleanlab Classification Label Issue Detection
Principles
- Principle:Online ml River Factorization Machines
- Principle:Gretelai Gretel synthetics GAN Model Persistence
- Principle:Huggingface Datatrove Regex Filtering
- Principle:Ggml org Ggml Neural Network Graph Building
- Principle:VainF Torch Pruning Progressive Pruning
- Principle:CarperAI Trlx Branch Benchmarking
- Principle:Interpretml Interpret SHAP Tree Explanation
- Principle:Alibaba MNN Express Gradient Optimizer Interface
- Principle:Cohere ai Cohere python Tool Schema Definition
- Principle:Fede1024 Rust rdkafka FFI Binding Layer
Implementations
- Implementation:Elevenlabs Elevenlabs python PromptAgentApiModelWorkflowOverrideOutput
- Implementation:HKUDS AI Trader PortfolioPage
- Implementation:Nautechsystems Nautilus trader Data Event Handlers
- Implementation:Google deepmind Mujoco Platform Sim Profiler
- Implementation:Langgenius Dify Service Annotation
- Implementation:Online ml River Metrics RollingROCAUC
- Implementation:Lance format Lance LegacyFixedSizeListEncoding
- Implementation:Microsoft Onnxruntime OrtEpDevice
- Implementation:Mit han lab Llm awq VILA15 Demo
- Implementation:InternLM Lmdeploy Pipeline Call
Heuristics
- Heuristic:Gretelai Gretel synthetics Gumbel Softmax NaN Retry
- Heuristic:Anthropics Anthropic sdk python Adaptive Thinking Over Enabled
- Heuristic:Nautechsystems Nautilus trader Parquet Row Group Tuning
- Heuristic:Cypress io Cypress V8 Snapshot Memory
- Heuristic:Dotnet Machinelearning AutoML SMAC Dimension Limit
- Heuristic:Risingwavelabs Risingwave LSM Compaction Tuning
- Heuristic:Scikit learn contrib Imbalanced learn Sparse Matrix Handling
- Heuristic:ContextualAI HALOs Batch Size Divisibility
- Heuristic:Vllm project Vllm GPU Memory Utilization Tuning
- Heuristic:Haosulab ManiSkill Initial Pose Performance
Environments
- Environment:Unslothai Unsloth Python Transformers
- Environment:Iterative Dvc DVC Environment Variables
- Environment:Huggingface Datatrove S3 Storage Environment
- Environment:Protectai Modelscan TensorFlow Optional
- Environment:Ggml org Llama cpp Vulkan GPU Environment
- Environment:Mit han lab Llm awq CUDA Build Environment
- Environment:TA Lib Ta lib python TA Lib C Library
- Environment:Treeverse LakeFS LakeFS Server Environment
- Environment:Vespa engine Vespa Docker OCI Container Runtime
- Environment:Microsoft Autogen Studio Server Environment