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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:Apache Paimon Data Ingestion With Ray Sink
- Workflow:Online ml River Time Series Forecasting
- Workflow:Guardrails ai Guardrails Structured Data Generation
- Workflow:Mlc ai Web llm Chrome Extension Integration
- Workflow:DataExpert io Data engineer handbook AB Experimentation Server
- Workflow:Triton inference server Server Model Performance Tuning
- Workflow:Huggingface Trl Reward Model Training
- Workflow:Deepspeedai DeepSpeed Hybrid Engine RLHF Training
- Workflow:Treeverse LakeFS Write Audit Publish With Hooks
- Workflow:InternLM Lmdeploy VLM Inference Pipeline
Principles
- Principle:Gretelai Gretel synthetics Batch Data Export
- Principle:Huggingface Datatrove Pipeline Type Constants
- Principle:FMInference FlexLLMGen Prediction Evaluation Metrics
- Principle:Pyro ppl Pyro Inference Utilities
- Principle:Huggingface Diffusers Dual LoRA Configuration
- Principle:ARISE Initiative Robosuite MJCF XML Manipulation
- Principle:Scikit learn contrib Imbalanced learn Instance Hardness Thresholding
- Principle:OpenRLHF OpenRLHF PPO Value Loss
- Principle:Turboderp org Exllamav2 Batch Job Iteration
- Principle:Rapidsai Cuml Build And CI Infrastructure
Implementations
- Implementation:Princeton nlp SimPO Post Process Script
- Implementation:Guardrails ai Guardrails Faiss
- Implementation:Run llama Llama index ReActAgent Run
- Implementation:Huggingface Peft Prepare Model For Kbit Training
- Implementation:Evidentlyai Evidently Legacy Text Evals Preset
- Implementation:Haosulab ManiSkill WidowXAI
- Implementation:Vllm project Vllm LLM Generate Constrained
- Implementation:Langfuse Langfuse PromptService Cache
- Implementation:Truera Trulens Run Dashboard
- Implementation:Openai Whisper Set Alignment Heads
Heuristics
- Heuristic:Togethercomputer Together python Retry Backoff Strategy
- Heuristic:Alibaba ROLL Numerical Stability Epsilon
- Heuristic:BerriAI Litellm Retry Backoff Strategy
- Heuristic:PeterL1n BackgroundMattingV2 Refine Mode Selection
- Heuristic:Avhz RustQuant Learning Rate Tuning
- Heuristic:Huggingface Diffusers Dtype Precision Selection
- Heuristic:VainF Torch Pruning AutoGrad Dependency Graph
- Heuristic:Mlc ai Web llm Service Worker Keep Alive
- Heuristic:Onnx Onnx Protobuf 2GB Limit Workaround
- Heuristic:Mistralai Client python Resource Context Manager
Environments
- Environment:Heibaiying BigData Notes Java 8 Maven Environment
- Environment:Langchain ai Langchain Anthropic API Credentials
- Environment:Datajuicer Data juicer Ray Cluster Environment
- Environment:Puppeteer Puppeteer Configuration Environment Variables
- Environment:OpenGVLab InternVL Flash Attention 2
- Environment:Alibaba ROLL Python Runtime Environment
- Environment:Huggingface Diffusers Attention Backends
- Environment:Heibaiying BigData Notes Flink 1 9 Environment
- Environment:Vllm project Vllm CUDA
- Environment:FMInference FlexLLMGen CUDA GPU