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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:Avhz RustQuant Analytic Option Pricing
- Workflow:Mlc ai Web llm Basic Chat Completion
- Workflow:Openai Openai agents python Streaming Agent Execution
- Workflow:Protectai Llm guard API Server Deployment
- Workflow:Interpretml Interpret EBM Model Merging
- Workflow:Microsoft Agent framework Agent With Tool Approval
- Workflow:CARLA simulator Carla Autonomous Navigation
- Workflow:Evidentlyai Evidently LLM Evaluation Monitoring
- Workflow:Turboderp org Exllamav2 EXL2 Model Conversion
- Workflow:Trailofbits Fickling Safe ML Model Loading
Principles
- Principle:Online ml River Feature Standardization
- Principle:Arize ai Phoenix Prompt Creation
- Principle:Lm sys FastChat HuggingFace Pipeline Inference
- Principle:Getgauge Taiko Browser Installation
- Principle:Huggingface Trl GRPO Training Loop
- Principle:Unstructured IO Unstructured Chunk Size Configuration
- Principle:Apache Paimon Distributed Data Operations
- Principle:Ggml org Llama cpp Result Analysis
- Principle:Ggml org Llama cpp Model Download
- Principle:Apache Shardingsphere DDL Metadata Reload
Implementations
- Implementation:Mistralai Client python MistralGoogleCloud Init
- Implementation:Explodinggradients Ragas Collections ContextPrecision Metric
- Implementation:Cleanlab Cleanlab Order Label Issues
- Implementation:Kserve Kserve IAP Request Auth
- Implementation:Confident ai Deepeval Assert Test Function
- Implementation:Ggml org Llama cpp Perplexity Function
- Implementation:Datahub project Datahub MetadataEventFormatter
- Implementation:Hiyouga LLaMA Factory DPO Workflow
- Implementation:NVIDIA NeMo Aligner GPTSteerLMModel
- Implementation:ArroyoSystems Arroyo Radio Group
Heuristics
- Heuristic:Langfuse Langfuse BullMQ Retry Strategy Patterns
- Heuristic:InternLM Lmdeploy KV Quantization Tradeoffs
- Heuristic:Bitsandbytes foundation Bitsandbytes Compute Dtype Mismatch Warning
- Heuristic:Microsoft BIPIA Delta Weight CPU Loading
- Heuristic:NVIDIA DALI Thread Affinity Optimization
- Heuristic:Iterative Dvc Run Cache Restoration Strategy
- Heuristic:Marker Inc Korea AutoRAG Hybrid Retrieval Score Normalization
- Heuristic:NVIDIA NeMo Curator Semantic Dedup Cluster Sizing
- Heuristic:DataExpert io Data engineer handbook Flink Checkpointing Interval Tuning
- Heuristic:VainF Torch Pruning AutoGrad Dependency Graph
Environments
- Environment:Ggml org Llama cpp CMake Build Environment
- Environment:Axolotl ai cloud Axolotl Python Runtime
- Environment:Tensorflow Tfjs Browser Runtime
- Environment:Vllm project Vllm Distributed
- Environment:Guardrails ai Guardrails Python 3 10 Runtime
- Environment:LLMBook zh LLMBook zh github io HuggingFace Transformers Stack
- Environment:DevExpress Testcafe Chrome Browser
- Environment:Unstructured IO Unstructured Ingest CLI
- Environment:Mlc ai Mlc llm Metal macOS iOS Environment
- Environment:Ucbepic Docetl LLM API Keys