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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:SqueezeAILab ETS ETS Experiment Pipeline
- Workflow:Huggingface Alignment handbook QLoRA Single GPU Finetuning
- Workflow:Apache Hudi Flink Table Clustering
- Workflow:Huggingface Open r1 GRPO Reasoning Training
- Workflow:Astronomer Astronomer cosmos Local dbt DAG rendering
- Workflow:OpenGVLab InternVL Preference Optimization
- Workflow:OpenRLHF OpenRLHF Reward Model Training
- Workflow:LaurentMazare Tch rs Transfer Learning
- Workflow:Pola rs Polars DataFrame Aggregation and Grouping
- Workflow:Microsoft Autogen Multi Agent Conversation
Principles
- Principle:Spotify Luigi SQL Query Execution
- Principle:Fede1024 Rust rdkafka Cluster Metadata Inspection
- Principle:AUTOMATIC1111 Stable diffusion webui Frontend Architecture
- Principle:Openai Openai agents python Lifecycle Hooks
- Principle:Huggingface Transformers Adapter Loading And Switching
- Principle:Liu00222 Open Prompt Injection Conditional Probability Computation
- Principle:Apache Druid Supervisor Health Monitoring
- Principle:Ggml org Ggml Remote Procedure Call Computation
- Principle:Predibase Lorax Schema Constrained Request
- Principle:NVIDIA DALI Image Resize
Implementations
- Implementation:Intel Ipex llm Env Check Windows
- Implementation:Explodinggradients Ragas ChrfScore Metric
- Implementation:Promptfoo Promptfoo RedteamGraderBase getResult
- Implementation:Openai Openai node Files Create
- Implementation:Openai Openai node FineTuning Resource
- Implementation:Mlc ai Mlc llm Batch Jumpforward
- Implementation:Openai Openai python Vector Store List Params
- Implementation:NVIDIA TransformerEngine Normalization C API
- Implementation:FlowiseAI Flowise SuggestionOption
- Implementation:Datahub project Datahub MetadataResponseFuture
Heuristics
- Heuristic:Sktime Pytorch forecasting Early Stopping Patience
- Heuristic:Arize ai Phoenix AIMD Concurrency Control
- Heuristic:Mage ai Mage ai Parallel Sink Concurrency Limit
- Heuristic:Liu00222 Open Prompt Injection BPE Retokenization Parameters
- Heuristic:Zai org CogVideo Memory Optimization Strategies
- Heuristic:Onnx Onnx External Data Path Security
- Heuristic:Kubeflow Kubeflow Kustomize Build Pipe Apply Pattern
- Heuristic:Unstructured IO Unstructured Strategy Fallback Chain
- Heuristic:Marker Inc Korea AutoRAG Data Format Requirements
- Heuristic:Isaac sim IsaacGymEnvs Factory Velocity Limits
Environments
- Environment:Openai Openai agents python LiteLLM Dependencies
- Environment:Microsoft BIPIA OpenAI API Environment
- Environment:Intel Ipex llm XPU Finetuning Environment
- Environment:Openclaw Openclaw Docker Deployment Environment
- Environment:Langchain ai Langgraph Docker Deployment Environment
- Environment:Openai Evals Python Runtime
- Environment:Huggingface Alignment handbook PyTorch CUDA
- Environment:Apache Beam Java Build Environment
- Environment:Mit han lab Llm awq VILA Multimodal Environment
- Environment:NVIDIA TransformerEngine Python PyTorch Requirements