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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:Eventual Inc Daft Multimodal AI Batch Inference
- Workflow:Alibaba ROLL Supervised Finetuning Pipeline
- Workflow:Ray project Ray Actor Lifecycle Management
- Workflow:Open compass VLMEvalKit API Model Evaluation
- Workflow:Lance format Lance Version Management
- Workflow:Cohere ai Cohere python Streaming Chat
- Workflow:ARISE Initiative Robomimic Trained Policy Evaluation
- Workflow:Iamhankai Forest of Thought Game24 Forest Solving
- Workflow:Kserve Kserve InferenceGraph Pipeline
- Workflow:Langgenius Dify Docker Deployment
Principles
- Principle:EvolvingLMMs Lab Lmms eval Job Submission
- Principle:ARISE Initiative Robosuite Action Vector Construction
- Principle:Microsoft Playwright Test File Creation
- Principle:FlowiseAI Flowise Template Marketplace
- Principle:Openai Evals Tool Augmented Evaluation
- Principle:Mlfoundations Open flamingo Retrieval In Context Example Selection
- Principle:Predibase Lorax Streaming Response Handling
- Principle:Ggml org Ggml Model Training
- Principle:Guardrails ai Guardrails Dev Server Launch
- Principle:Ollama Ollama Llama Cpp Common Library
Implementations
- Implementation:Scikit learn Scikit learn Cross Validate
- Implementation:Helicone Helicone CostOf
- Implementation:Langchain ai Langchain BaseMemory
- Implementation:Hpcaitech ColossalAI Trainer Base
- Implementation:FMInference FlexLLMGen DeepSpeed Autotuning Scheduler
- Implementation:Langgenius Dify UseModels
- Implementation:Facebookresearch Audiocraft SISNR Loss
- Implementation:Guardrails ai Guardrails Merge
- Implementation:Openai Openai python Vector Store Update Params
- Implementation:Triton inference server Server L0 Rate Limiter Test
Heuristics
- Heuristic:Apache Airflow Variable Access Pattern
- Heuristic:Cypress io Cypress Browser Version Workarounds
- Heuristic:VainF Torch Pruning GQA Head Pruning Constraints
- Heuristic:Openai Evals Model Graded Eval Design
- Heuristic:Marker Inc Korea AutoRAG Passage Filter Safety Minimum
- Heuristic:Langgenius Dify Extension Initialization Order
- Heuristic:Princeton nlp SimPO Hyperparameter Tuning
- Heuristic:HKUDS AI Trader A Share Lot Size Rule
- Heuristic:Iterative Dvc YAML Dual Parser Strategy
- Heuristic:Pytorch Serve Ampere Tensor Core Optimization
Environments
- Environment:Microsoft DeepSpeedExamples CIFAR10 Training Environment
- Environment:Open compass VLMEvalKit Data Storage Environment
- Environment:FMInference FlexLLMGen CUDA GPU
- Environment:Google research Deduplicate text datasets Python TFDS Environment
- Environment:Alibaba MNN CPU Build Environment
- Environment:DataExpert io Data engineer handbook Spark Iceberg Docker Environment
- Environment:Intel Ipex llm Build Environment
- Environment:Apache Beam Dataflow Streaming Runtime
- Environment:Langgenius Dify Python Backend Environment
- Environment:Apache Paimon Cloud Storage Credentials