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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:TobikoData Sqlmesh Environment management
- Workflow:Microsoft Agent framework Agent With Tool Approval
- Workflow:EvolvingLMMs Lab Lmms eval Distributed Multi GPU Evaluation
- Workflow:Gretelai Gretel synthetics LSTM Text Generation
- Workflow:Hiyouga LLaMA Factory DPO Preference Alignment
- Workflow:Protectai Modelscan CLI Model Scanning
- Workflow:Sail sg LongSpec Speculative Decoding Inference
- Workflow:Cohere ai Cohere python Tool Use Agentic Chat
- Workflow:Lance format Lance Table Optimization
- Workflow:LLMBook zh LLMBook zh github io DPO Alignment
Principles
- Principle:Farama Foundation Gymnasium Composite Space Types
- Principle:OpenRLHF OpenRLHF PPO Policy Loss
- Principle:DistrictDataLabs Yellowbrick Text Feature Visualization
- Principle:OpenRLHF OpenRLHF Prompt Dataset Construction
- Principle:Ray project Ray Release Validation Testing
- Principle:PacktPublishing LLM Engineers Handbook Evaluation Results Aggregation
- Principle:Lm sys FastChat Arena Battle UI
- Principle:Norrrrrrr lyn WAInjectBench Image Feature Extraction
- Principle:ARISE Initiative Robomimic Dataset Loading
- Principle:Kserve Kserve OpenAI Compatible Inference
Implementations
- Implementation:Bentoml BentoML Models Push Pull
- Implementation:Evidentlyai Evidently ClassificationQuality Preset
- Implementation:Scikit learn Scikit learn PartialDependenceDisplay
- Implementation:FlowiseAI Flowise RBACButtons
- Implementation:CrewAIInc CrewAI RAG PDF Loader
- Implementation:Explodinggradients Ragas NoiseSensitivity Metric
- Implementation:Recommenders team Recommenders SUM Model
- Implementation:OpenHands OpenHands SaaSExperimentManager
- Implementation:Treeverse LakeFS SetGCRules
- Implementation:Ggml org Llama cpp Fit Params
Heuristics
- Heuristic:Webdriverio Webdriverio Exponential Backoff Retry
- Heuristic:Apache Kafka JVM GC Tuning Defaults
- Heuristic:Langchain ai Langgraph Checkpointer Selection Guide
- Heuristic:Microsoft Onnxruntime Flash Attention Optimization
- Heuristic:Treeverse LakeFS Warning Deprecated InternalApi Methods
- Heuristic:Openai Whisper Log Probability Threshold
- Heuristic:Deepset ai Haystack Pipeline Deep Copy Safety
- Heuristic:AnswerDotAI RAGatouille In Memory Reranking Limits
- Heuristic:Mage ai Mage ai HTTP Request Timeout Defaults
- Heuristic:Huggingface Alignment handbook EOS Token Alignment
Environments
- Environment:Fastai Fastbook Python FastAI Environment
- Environment:Huggingface Datasets Python PyArrow Core
- Environment:Trailofbits Fickling PyTorch
- Environment:Sgl project Sglang Triton
- Environment:Facebookresearch Audiocraft AudioCraft Environment Variables
- Environment:Mage ai Mage ai Python 3 9 Runtime
- Environment:Kserve Kserve Python Runtime
- Environment:FMInference FlexLLMGen NVMe Disk
- Environment:Huggingface Peft Python Core Dependencies
- Environment:MaterializeInc Materialize Dbt Materialize Runtime