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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 |
Explore Pages
Workflows
- Workflow:DataExpert io Data engineer handbook Flink Kafka Streaming Pipeline
- Workflow:OWASP Www project top 10 for large language model applications LLM Vulnerability Assessment
- Workflow:Anthropics Anthropic sdk python Streaming Message Interaction
- Workflow:Googleapis Python genai Multi Turn Chat
- Workflow:Openai Openai node Realtime Conversation
- Workflow:Onnx Onnx Model Creation
- Workflow:InternLM Lmdeploy LLM API Server Deployment
- Workflow:Trailofbits Fickling Pickle Decompilation and Tracing
- Workflow:EvolvingLMMs Lab Lmms eval End to End Evaluation
- Workflow:Alibaba MNN Python Model Inference
Principles
- Principle:Zai org CogVideo Perceptual Adversarial Loss
- Principle:LMCache LMCache Engine Lifecycle Management
- Principle:Scikit learn Scikit learn Column Selection
- Principle:Scikit learn Scikit learn Naive Bayes Classification
- Principle:FMInference FlexLLMGen Distributed Communication Abstraction
- Principle:Dotnet Machinelearning Hardware Accelerated Training
- Principle:Langgenius Dify Component Architecture
- Principle:Turboderp org Exllamav2 Vision Tower Loading
- Principle:Getgauge Taiko Gauge Test Execution
- Principle:Alibaba ROLL RLVR Configuration
Implementations
- Implementation:Alibaba MNN PyMNN Module Forward
- Implementation:Groq Groq python Transcriptions Create
- Implementation:Risingwavelabs Risingwave OpensearchBulkProcessorAdapter
- Implementation:Huggingface Datasets EnvironmentCommand
- Implementation:Zai org CogVideo SAT VideoDataset
- Implementation:Open compass VLMEvalKit MathCanvas Utils
- Implementation:Infiniflow Ragflow CreateFolderForm Component
- Implementation:Mage ai Mage ai Google Sheets Source
- Implementation:Google deepmind Mujoco MJX Mesh
- Implementation:LLMBook zh LLMBook zh github io VLLM LLM Generate
Heuristics
- Heuristic:Deepset ai Haystack Warning Deprecated TransformersSimilarityRanker
- Heuristic:Haosulab ManiSkill Num Envs Backend Selection
- Heuristic:Ucbepic Docetl Reduce Parallel Fold Tuning
- Heuristic:Marker Inc Korea AutoRAG GPU Memory Cleanup Pattern
- Heuristic:Google deepmind Dm control Tolerance Reward Tuning
- Heuristic:Hpcaitech ColossalAI CUDA Device Max Connections Tip
- Heuristic:Microsoft Onnxruntime Flash Attention Optimization
- Heuristic:Norrrrrrr lyn WAInjectBench Union Ensemble Maximize Recall
- Heuristic:Online ml River HST Feature Scaling Requirement
- Heuristic:DistrictDataLabs Yellowbrick Scikit Learn API Compatibility
Environments
- Environment:Fastai Fastbook Sklearn Environment
- Environment:Sktime Pytorch forecasting Matplotlib Plotting Dependencies
- Environment:Mlflow Mlflow MLflow Server Environment
- Environment:FlagOpen FlagEmbedding Finetuning Environment
- Environment:Huggingface Datatrove Python Runtime
- Environment:Sgl project Sglang Triton
- Environment:Openai Whisper Numba
- Environment:Vllm project Vllm AMD ROCm
- Environment:Microsoft Agent framework Python 3 10 Runtime
- Environment:Kubeflow Kubeflow Istio Certmanager Dex Environment