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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 Tool Use Agentic Chat
- Workflow:OpenHands OpenHands SaaS Server Assembly
- Workflow:Lm sys FastChat Distributed Model Serving
- Workflow:Huggingface Optimum Accelerated Inference Pipeline
- Workflow:Cohere ai Cohere python Semantic Search With Rerank
- Workflow:Mbzuai oryx Awesome LLM Post training Research Trend Analysis
- Workflow:Deepseek ai Janus Rectified Flow Image Generation
- Workflow:ArroyoSystems Arroyo Local Pipeline Execution
- Workflow:Microsoft Autogen Graph Based Agent Orchestration
- Workflow:Huggingface Transformers 3D Parallel Distributed Training
Principles
- Principle:Openai Evals Environment Setup
- Principle:Spcl Graph of thoughts Ground Truth Evaluation
- Principle:Kserve Kserve LLMIsvc Controller Reconciliation
- Principle:Haosulab ManiSkill Sim2Real Bridge
- Principle:Huggingface Datasets Dataset Builder Resolution
- Principle:DataExpert io Data engineer handbook Aggregation Transformation
- Principle:Huggingface Datatrove FastText Classification Filtering
- Principle:Openai CLIP Linear Classification
- Principle:Apache Spark PR Merge Workflow
- Principle:Huggingface Transformers Distributed Process Initialization
Implementations
- Implementation:Cohere ai Cohere python Finetuning Event
- Implementation:Scikit learn Scikit learn KernelDensity
- Implementation:Eventual Inc Daft Arrow Utils
- Implementation:Openclaw Openclaw EnablePluginInConfig
- Implementation:Princeton nlp SimPO Post Process Script
- Implementation:Scikit learn Scikit learn MLPClassifier
- Implementation:Trailofbits Fickling PyTorchModelWrapper Inject Payload
- Implementation:Explodinggradients Ragas MetricValidators Module
- Implementation:Openai Openai python Eval Run Canceled Webhook
- Implementation:Mistralai Client python ChatCompletionResponse
Heuristics
- Heuristic:Microsoft Agent framework Silent Workflow Failures
- Heuristic:Guardrails ai Guardrails Guard History Memory Management
- Heuristic:Ollama Ollama VRAM Recovery And Scheduling
- Heuristic:Mage ai Mage ai HTTP Request Timeout Defaults
- Heuristic:Ollama Ollama Sampling Numerical Stability
- Heuristic:Mlfoundations Open flamingo Hungarian MMC4 Image Text Matching
- Heuristic:Apache Druid Sampler Limitations And Workarounds
- Heuristic:Alibaba MNN GPU Tuning Modes
- Heuristic:Run llama Llama index Finetuning Warmup Steps
- Heuristic:Vibrantlabsai Ragas Temperature Sampling Strategy
Environments
- Environment:Cypress io Cypress Node Runtime Environment
- Environment:VainF Torch Pruning CUDA GPU Benchmarking
- Environment:Sgl project Sglang GitHub Actions
- Environment:Onnx Onnx Python Runtime Environment
- Environment:ArroyoSystems Arroyo Rust Runtime
- Environment:Lance format Lance Cloud Storage Credentials
- Environment:Unstructured IO Unstructured Ingest CLI
- Environment:Ucbepic Docetl Docker Deployment
- Environment:Volcengine Verl CUDA GPU Environment
- Environment:Tensorflow Serving Build Environment