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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:Vllm project Vllm Offline Text Generation
- Workflow:Datajuicer Data juicer LLM Powered Data Generation
- Workflow:Bentoml BentoML Multi Model Composition
- Workflow:OpenRLHF OpenRLHF Rejection Sampling
- Workflow:Anthropics Anthropic sdk python Extended Thinking Reasoning
- Workflow:MarketSquare Robotframework browser API Testing via Browser
- Workflow:Kubeflow Kubeflow Release Management
- Workflow:Apache Dolphinscheduler Workflow Failover Recovery
- Workflow:LMCache LMCache CacheBlend KV Reuse
- Workflow:SeldonIO Seldon core HuggingFace Model Serving
Principles
- Principle:Vespa engine Vespa Logger Handler Installation
- Principle:DistrictDataLabs Yellowbrick Dataset Management
- Principle:CARLA simulator Carla PID Vehicle Control
- Principle:Mlc ai Web llm Embedding Model Selection
- Principle:ArroyoSystems Arroyo Local Cluster Initialization
- Principle:Vespa engine Vespa CMake Configuration
- Principle:Allenai Open instruct Environment Setup
- Principle:EvolvingLMMs Lab Lmms eval Media Handling
- Principle:EvolvingLMMs Lab Lmms eval Example Script Creation
- Principle:Run llama Llama index Embedding Model Integration
Implementations
- Implementation:FlowiseAI Flowise LoginActivity
- Implementation:Microsoft LoRA GPT2LMModel Config
- Implementation:Hpcaitech ColossalAI Train ORPO Script
- Implementation:Datajuicer Data juicer ImageTextSimilarityFilter
- Implementation:ClickHouse ClickHouse Poco HTTPClientSession
- Implementation:Huggingface Transformers Check Repo
- Implementation:Cleanlab Cleanlab Segmentation Find Label Issues
- Implementation:Open compass VLMEvalKit OlympiadBench Utils
- Implementation:Huggingface Datasets Pandas Builder
- Implementation:OpenHands OpenHands MaintenanceTask
Heuristics
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Test Train Option Consistency
- Heuristic:Lance format Lance IO Buffer And Batch Sizing
- Heuristic:Zai org CogVideo Frame Count and Resolution Constraints
- Heuristic:Bitsandbytes foundation Bitsandbytes CuBLAS Int8 Dimension Alignment
- Heuristic:Microsoft Onnxruntime Convergence Debugging Tips
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix CuDNN Benchmark Scale Width
- Heuristic:Microsoft Semantic kernel Custom HttpClient Retry Policy
- Heuristic:Huggingface Peft LoRA Default Configuration
- Heuristic:Apache Beam GC Thrashing Detection
- Heuristic:Apache Spark Memory Tuning Tips
Environments
- Environment:Apache Airflow Kubernetes Helm Environment
- Environment:EvolvingLMMs Lab Lmms eval Python Runtime Environment
- Environment:Facebookresearch Audiocraft AudioCraft Environment Variables
- Environment:SeldonIO Seldon core GPU Inference Environment
- Environment:Huggingface Datasets PyTorch Integration
- Environment:Anthropics Anthropic sdk python Python SDK Core Environment
- Environment:Sgl project Sglang Kubernetes
- Environment:Recommenders team Recommenders GPU CUDA Environment
- Environment:Princeton nlp SimPO CUDA Training
- Environment:CrewAIInc CrewAI Optional Provider Dependencies