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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:Googleapis Python genai Text Content Generation
- Workflow:EvolvingLMMs Lab Lmms eval Custom Model Integration
- Workflow:Snorkel team Snorkel Slice Aware Training
- Workflow:SqueezeAILab ETS ETS Experiment Pipeline
- Workflow:Cypress io Cypress Component Test Execution
- Workflow:Spcl Graph of thoughts GoT Keyword Counting Pipeline
- Workflow:Roboflow Rf detr Custom Dataset Finetuning
- Workflow:Deepspeedai DeepSpeed Pipeline Parallel Training
- Workflow:Sgl project Sglang Structured Output Generation
- Workflow:Marker Inc Korea AutoRAG RAG Pipeline Optimization
Principles
- Principle:Huggingface Datasets Download Configuration
- Principle:Kserve Kserve Model Promotion Rollback
- Principle:Apache Beam Job Submission Twister2
- Principle:DataTalksClub Data engineering zoomcamp Spark Session Initialization
- Principle:Eventual Inc Daft AI Image Embedding
- Principle:Romsto Speculative Decoding Input Tokenization
- Principle:Langgenius Dify Service Orchestration
- Principle:FlowiseAI Flowise Evaluation Version Comparison
- Principle:Confident ai Deepeval Framework Instrumentation
- Principle:TA Lib Ta lib python Binary Wheel Installation
Implementations
- Implementation:Speechbrain Speechbrain Compute Embeddings
- Implementation:CARLA simulator Carla SensorRegistry
- Implementation:FlowiseAI Flowise ServerLogsView
- Implementation:Infiniflow Ragflow Admin EmailForm Component
- Implementation:AnswerDotAI RAGatouille RAGTrainer Init
- Implementation:Turboderp org Exllamav2 Attn Params
- Implementation:CrewAIInc CrewAI GitHub Search Tool
- Implementation:Sktime Pytorch forecasting Encoder
- Implementation:Apache Beam InMemoryJobService Prepare
- Implementation:Kornia Kornia Total Variation Loss
Heuristics
- Heuristic:Apache Spark Warning Deprecated DStream Streaming
- Heuristic:InternLM Lmdeploy OOM Troubleshooting
- Heuristic:Alibaba ROLL GPU Memory Offload Strategy
- Heuristic:Avhz RustQuant MC Parallel Path Threshold
- Heuristic:Fastai Fastbook Random Forest Defaults
- Heuristic:Allenai Open instruct Pre Init Torch Distributed
- Heuristic:Lakeraai Pint benchmark Use Balanced Accuracy For Imbalanced Datasets
- Heuristic:OpenBMB UltraFeedback Score 10 Anomaly Correction
- Heuristic:FMInference FlexLLMGen OOM Memory Management
- Heuristic:Unstructured IO Unstructured Multi Python Matrix
Environments
- Environment:Lm sys FastChat GPU CUDA Inference
- Environment:Astronomer Astronomer cosmos Cloud Provider Dependencies
- Environment:Apache Dolphinscheduler Netty Runtime
- Environment:Microsoft LoRA PyTorch CUDA Environment
- Environment:Truera Trulens LangChain LangGraph Environment
- Environment:ClickHouse ClickHouse Systemd Runtime
- Environment:Bitsandbytes foundation Bitsandbytes ROCm AMD Environment
- Environment:Datahub project Datahub Python 3 10 Ingestion Environment
- Environment:Dotnet Machinelearning Native Build Toolchain
- Environment:Facebookresearch Habitat lab HITL Runtime Environment