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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:Zai org CogVideo Diffusers Image to Video Inference
- Workflow:Microsoft DeepSpeedExamples VisualChat Multimodal Training
- Workflow:Kubeflow Pipelines Iterative Model Training
- Workflow:Kornia Kornia Image Stitching Panorama
- Workflow:Mlfoundations Open flamingo Distributed Training
- Workflow:Nautechsystems Nautilus trader Data loading and cataloging
- Workflow:Datahub project Datahub Spark Lineage Capture
- Workflow:Webdriverio Webdriverio WDIO Testrunner Setup
- Workflow:LaurentMazare Tch rs JIT Model Inference
- Workflow:Microsoft DeepSpeedExamples ZeRO Inference
Principles
- Principle:Microsoft Semantic kernel Orchestration Runtime
- Principle:ARISE Initiative Robomimic Dataset Download
- Principle:Puppeteer Puppeteer CDP Session Management
- Principle:Avhz RustQuant Cashflow Analysis
- Principle:CarperAI Trlx Online RL Training
- Principle:Online ml River STREAMKMeans Clustering
- Principle:Openai Evals Few Shot Prompting
- Principle:Interpretml Interpret Interactive Visualization Rendering
- Principle:CARLA simulator Carla Simulation Recording
- Principle:Liu00222 Open Prompt Injection Evaluation Pipeline
Implementations
- Implementation:Alibaba MNN RapidJSON Reader
- Implementation:Mlc ai Mlc llm Bundle weight
- Implementation:Predibase Lorax GPTQ Exllama V1
- Implementation:Ollama Ollama Imagegen CLI
- Implementation:Explodinggradients Ragas MetricValidators Module
- Implementation:Microsoft Playwright BidiDeserializer
- Implementation:Scikit learn Scikit learn GraphUtils
- Implementation:FlowiseAI Flowise GetAllNodes
- Implementation:Mlc ai Mlc llm Tokenizer
- Implementation:Apache Druid ReactTableInputs
Heuristics
- Heuristic:Openai Openai python Timeout Connection Defaults
- Heuristic:Heibaiying BigData Notes HBase Connection Thread Safety Tip
- Heuristic:Openai Whisper KV Cache Optimization
- Heuristic:DataExpert io Data engineer handbook Flink Checkpointing Interval Tuning
- Heuristic:Apache Beam Thread Pool Parallelism Sizing
- Heuristic:Elevenlabs Elevenlabs python Text Chunking Splitter Characters
- Heuristic:FlagOpen FlagEmbedding Temperature Scaling Tip
- Heuristic:NVIDIA TransformerEngine Build Optimization Tips
- Heuristic:Protectai Modelscan Nested Zip Not Supported
- Heuristic:FlagOpen FlagEmbedding Length Sorted Batching
Environments
- Environment:Vespa engine Vespa POSIX Mmap Log Control
- Environment:Protectai Llm guard API Server Deployment
- Environment:Microsoft LoRA NLG Eval External Tools
- Environment:Googleapis Python genai Python 3 10 SDK Runtime
- Environment:Kornia Kornia CUDA GPU Environment
- Environment:Snorkel team Snorkel SpaCy NLP
- Environment:TobikoData Sqlmesh Web UI Stack
- Environment:Anthropics Anthropic sdk python AWS Bedrock Environment
- Environment:Eric mitchell Direct preference optimization PyTorch CUDA
- Environment:Predibase Lorax CUDA GPU Runtime