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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:Cohere ai Cohere python Model Finetuning
- Workflow:Eric mitchell Direct preference optimization Custom Dataset Integration
- Workflow:Lm sys FastChat Vicuna SFT Finetuning
- Workflow:Onnx Onnx Model Creation
- Workflow:Deepset ai Haystack RAG Evaluation Pipeline
- Workflow:Lakeraai Pint benchmark Hugging Face Model Evaluation
- Workflow:Vllm project Vllm Multi LoRA Serving
- Workflow:Alibaba ROLL Reward Flow Diffusion Pipeline
- Workflow:FlagOpen FlagEmbedding Reranker Finetuning
- Workflow:Evidentlyai Evidently ML Model Quality Report
Principles
- Principle:TobikoData Sqlmesh Interval Configuration
- Principle:Predibase Lorax Schema Constrained Request
- Principle:Anthropics Anthropic sdk python API Resource Pattern
- Principle:Webdriverio Webdriverio XML Processing
- Principle:Triton inference server Server Performance Analysis
- Principle:Treeverse LakeFS API Authentication Specification
- Principle:DevExpress Testcafe Native Automation Request Interception
- Principle:PacktPublishing LLM Engineers Handbook Model Merging And Publishing
- Principle:LaurentMazare Tch rs Basic Tensor Operations
- Principle:Apache Hudi Write Operation Configuration
Implementations
- Implementation:Onnx Onnx Cpp2py Export
- Implementation:Vibrantlabsai Ragas LangChain Document Loader
- Implementation:Getgauge Taiko ElementWrapper
- Implementation:Webdriverio Webdriverio TestFnWrapper
- Implementation:Openai Openai python Image Edit Partial Event
- Implementation:NVIDIA NeMo Curator NewlineNormalizer
- Implementation:FMInference FlexLLMGen Get Batches
- Implementation:Microsoft Playwright Page Agent
- Implementation:Explodinggradients Ragas Evaluate Function
- Implementation:Elevenlabs Elevenlabs python UnitTestCommonModel
Heuristics
- Heuristic:BerriAI Litellm Batch Size Flush Interval Tuning
- Heuristic:Princeton nlp SimPO Dropout Disabling
- Heuristic:NVIDIA TransformerEngine FP8 Recipe Auto Selection
- Heuristic:EvolvingLMMs Lab Lmms eval Memory Cleanup After Inference
- Heuristic:Deepspeedai DeepSpeed Vocabulary Tensor Core Alignment
- Heuristic:Gretelai Gretel synthetics Gumbel Softmax NaN Retry
- Heuristic:Sktime Pytorch forecasting Encoder Decoder Length Limits
- Heuristic:FMInference FlexLLMGen Offloading Percent Tuning
- Heuristic:LMCache LMCache Chunk Size And Default Config
- Heuristic:Treeverse LakeFS Presigned URL Expiry Tip
Environments
- Environment:Farama Foundation Gymnasium Box2D Physics Backend
- Environment:Langchain ai Langchain OpenAI API Credentials
- Environment:Marker Inc Korea AutoRAG Korean NLP Dependencies
- Environment:Nightwatchjs Nightwatch Selenium WebDriver 4
- Environment:Ucbepic Docetl LLM API Keys
- Environment:Obss Sahi Python Detection Frameworks
- Environment:FlowiseAI Flowise Node Runtime Environment
- Environment:Marker Inc Korea AutoRAG API Keys And Credentials
- Environment:Neuml Txtai Python Core Dependencies
- Environment:Ray project Ray Java Build Environment