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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:Pytorch Serve LLM Deployment vLLM
- Workflow:Dagster io Dagster LLM Fine Tuning
- Workflow:Wandb Weave Tracing Setup
- Workflow:DistrictDataLabs Yellowbrick Classification Model Evaluation
- Workflow:Unslothai Unsloth GRPO Reinforcement Learning
- Workflow:Mlfoundations Open flamingo Distributed Training
- Workflow:Scikit learn Scikit learn Hyperparameter Tuning
- Workflow:Mlc ai Mlc llm Mobile Deployment
- Workflow:Vespa engine Vespa Linguistics text processing pipeline
- Workflow:AUTOMATIC1111 Stable diffusion webui LoRA network application
Principles
- Principle:FMInference FlexLLMGen DeepSpeed Configuration Autotuning
- Principle:Mlc ai Web llm Extension Service Worker
- Principle:Snorkel team Snorkel Labeling Function Definition
- Principle:Turboderp org Exllamav2 Dynamic Generator Setup
- Principle:Huggingface Optimum Reversible Transformation
- Principle:Datahub project Datahub Entity Upsert
- Principle:Microsoft Playwright Execute Automation Command
- Principle:Hiyouga LLaMA Factory Causal Language Model Pretraining
- Principle:Teamcapybara Capybara Pre Registered Drivers
- Principle:Datajuicer Data juicer Ray Cluster Initialization
Implementations
- Implementation:Open compass VLMEvalKit MMMath
- Implementation:Teamcapybara Capybara RSpec Matchers HaveSelector
- Implementation:InternLM Lmdeploy Smooth Quant
- Implementation:SeleniumHQ Selenium Bootstrap Main Entry
- Implementation:Puppeteer Puppeteer Cdp TargetManager
- Implementation:Cohere ai Cohere python EmbedContent Union
- Implementation:Teamcapybara Capybara Capybara Server Configuration
- Implementation:Lance format Lance LegacyStructEncoding
- Implementation:LMCache LMCache Config
- Implementation:Neuml Txtai Annoy ANN
Heuristics
- Heuristic:Getgauge Taiko Element Actionability Checks
- Heuristic:Fede1024 Rust rdkafka Multi Version Dependency Hazard
- Heuristic:Iamhankai Forest of Thought Self Correction Confidence Threshold
- Heuristic:HKUDS AI Trader Market Type Auto Detection
- Heuristic:Sgl project Sglang Attention Backend Selection
- Heuristic:Online ml River ARF Drift Detection Sensitivity
- Heuristic:Gretelai Gretel synthetics Gumbel Softmax NaN Retry
- Heuristic:PacktPublishing LLM Engineers Handbook RAG Retrieval Parameters
- Heuristic:Scikit learn contrib Imbalanced learn Sparse Matrix Handling
- Heuristic:Langchain ai Langgraph Stream Mode Selection
Environments
- Environment:Deepspeedai DeepSpeed Multi Accelerator Environment
- Environment:Iamhankai Forest of Thought Python CUDA Runtime
- Environment:Vllm project Vllm CUDA Runtime
- Environment:Alibaba ROLL CUDA GPU Environment
- Environment:Tencent Ncnn Vulkan Environment
- Environment:Volcengine Verl Megatron Core Environment
- Environment:Langchain ai Langchain Python 3 10 Runtime
- Environment:Confident ai Deepeval LLM Provider Credentials
- Environment:Openai Openai node WebSocket Dependency
- Environment:MarketSquare Robotframework browser CI GitHub Actions