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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:Anthropics Anthropic sdk python Basic Message Conversation
- Workflow:Openai Openai python Realtime Conversation
- Workflow:Googleapis Python genai Multimodal Content Generation
- Workflow:Recommenders team Recommenders Algorithm Benchmarking
- Workflow:Openai Evals Creating a model graded eval
- Workflow:Openai Openai python Chat Completion
- Workflow:Ggml org Llama cpp Model Perplexity Evaluation
- Workflow:Onnx Onnx Model Creation
- Workflow:Apache Dolphinscheduler Workflow Execution Lifecycle
- Workflow:Alibaba MNN Model Compression
Principles
- Principle:Apache Kafka Builder Cleanup
- Principle:Online ml River Feature Normalization
- Principle:Apache Druid SQL Input Source Selection
- Principle:Apache Shardingsphere Federation Metadata Refresh
- Principle:Intel Ipex llm GaLore Gradient Projection
- Principle:Huggingface Diffusers Video Memory Management
- Principle:Scikit learn Scikit learn Covariance Estimation
- Principle:OpenHands OpenHands Solvability Analysis
- Principle:Apache Hudi Compaction Execution
- Principle:Gretelai Gretel synthetics GAN Adversarial Training
Implementations
- Implementation:Kserve Kserve MNIST CNN Net
- Implementation:Evidentlyai Evidently Legacy Collector Config
- Implementation:ClickHouse ClickHouse Poco NetworkInterface Impl
- Implementation:SeleniumHQ Selenium Closure Testing Events
- Implementation:Onnx Onnx ML Operator Sets
- Implementation:Ggml org Llama cpp Memory Hybrid
- Implementation:Vllm project Vllm Ops Header
- Implementation:Kornia Kornia Connected Components
- Implementation:Hpcaitech ColossalAI Ray Performance Evaluator
- Implementation:Langchain ai Langgraph Pregel Invoke For Functional
Heuristics
- Heuristic:Cohere ai Cohere python Warning Deprecated Legacy Generate API
- Heuristic:Arize ai Phoenix Notebook Event Loop Patching
- Heuristic:Vespa engine Vespa RPM Zstd Compression Settings
- Heuristic:Facebookresearch Habitat lab Mini Batch Environment Divisibility
- Heuristic:Kubeflow Kubeflow Kustomize Build Pipe Apply Pattern
- Heuristic:Online ml River ARF Drift Detection Sensitivity
- Heuristic:Promptfoo Promptfoo Retry With Jitter
- Heuristic:Huggingface Datasets Flatten Indices Performance
- Heuristic:Mage ai Mage ai Sorted Data Bookmark Strategy
- Heuristic:BerriAI Litellm Connection Pooling Memory Management
Environments
- Environment:Princeton nlp Tree of thought llm Python OpenAI
- Environment:Guardrails ai Guardrails Python 3 10 Runtime
- Environment:Deepspeedai DeepSpeed Python Runtime Environment
- Environment:Facebookresearch Audiocraft Python PyTorch CUDA Environment
- Environment:Helicone Helicone Python ClickHouse Migrations
- Environment:Mlflow Mlflow Docker Container Environment
- Environment:Huggingface Optimum Accelerated Inference Environment
- Environment:SeldonIO Seldon core Kafka Messaging Environment
- Environment:ARISE Initiative Robomimic PyTorch CUDA Environment
- Environment:Langgenius Dify Python Backend Environment