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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:Spcl Graph of thoughts GoT Keyword Counting Pipeline
- Workflow:Vibrantlabsai Ragas RAG Evaluation
- Workflow:Hiyouga LLaMA Factory Model Export and Merging
- Workflow:Norrrrrrr lyn WAInjectBench Text Prompt Injection Detection
- Workflow:Cypress io Cypress E2E Test Execution
- Workflow:Scikit learn Scikit learn Hyperparameter Tuning
- Workflow:Google deepmind Dm control Manipulation Task Setup
- Workflow:ChenghaoMou Text dedup Bloom Filter Deduplication
- Workflow:Mit han lab Llm awq AWQ Model Evaluation
- Workflow:CarperAI Trlx ILQL Offline Training
Principles
- Principle:Datahub project Datahub Spark Listener Configuration
- Principle:Lucidrains X transformers Aligned Model Evaluation
- Principle:Microsoft Playwright Configure Recording Context
- Principle:Elevenlabs Elevenlabs python Client Initialization
- Principle:Speechbrain Speechbrain LibriTTS Data Preparation
- Principle:Ray project Ray Multi Language Cluster Initialization
- Principle:Ollama Ollama Token Sampling
- Principle:Alibaba ROLL LLM Response Generation
- Principle:Iterative Dvc Target Resolution
- Principle:NVIDIA TransformerEngine FP8 Quantization
Implementations
- Implementation:FlowiseAI Flowise GenerateAgentflow
- Implementation:Run llama Llama index VectorStoreIndex From Documents
- Implementation:Treeverse LakeFS Java SDK RepositoriesApi
- Implementation:Mlc ai Mlc llm Qwen3 Model
- Implementation:Openai Evals Get Final Results From Dir
- Implementation:Zai org CogVideo LapLoss
- Implementation:TobikoData Sqlmesh Model File
- Implementation:Deepset ai Haystack ExtractedAnswer Dataclass
- Implementation:Langchain ai Langgraph Task Decorator
- Implementation:ArroyoSystems Arroyo Pipeline Editor Tabs
Heuristics
- Heuristic:Datahub project Datahub Gradle Task Only
- Heuristic:Ggml org Llama cpp Thread Count Tuning
- Heuristic:Astronomer Astronomer cosmos Watcher Queue Sizing
- Heuristic:Dagster io Dagster Retry Strategy Configuration
- Heuristic:Allenai Open instruct Logprob Clamping
- Heuristic:Treeverse LakeFS Retry Backoff Configuration
- Heuristic:OpenBMB UltraFeedback Position Bias Mitigation
- Heuristic:EvolvingLMMs Lab Lmms eval Distributed Padding Strategy
- Heuristic:Fede1024 Rust rdkafka Sensitive Config Sanitization
- Heuristic:Lance format Lance Fragment Sizing Strategy
Environments
- Environment:Vllm project Vllm AMD ROCm
- Environment:Vllm project Vllm ROCm
- Environment:Spcl Graph of thoughts Local LLaMA GPU Inference
- Environment:Bigscience workshop Petals Python Transformers
- Environment:Intel Ipex llm XPU Finetuning Environment
- Environment:Astronomer Astronomer cosmos Kubernetes Provider
- Environment:Mbzuai oryx Awesome LLM Post training Git CLI
- Environment:Dotnet Machinelearning Native Build Toolchain
- Environment:Predibase Lorax Docker Container Runtime
- Environment:SeleniumHQ Selenium Contributor Development Environment