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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:Apache Hudi Docker Demo Setup
- Workflow:Kubeflow Kubeflow Platform Deployment
- Workflow:Hiyouga LLaMA Factory DPO Preference Alignment
- Workflow:AUTOMATIC1111 Stable diffusion webui Textual inversion training
- Workflow:Ollama Ollama OpenAI API Compatibility
- Workflow:Ggml org Llama cpp Speculative Decoding
- Workflow:Isaac sim IsaacGymEnvs RL Policy Training
- Workflow:Kornia Kornia ONNX Model Pipeline
- Workflow:Ggml org Ggml GPT2 Text Generation
- Workflow:Vespa engine Vespa Linguistics text processing pipeline
Principles
- Principle:Huggingface Datatrove HTML Text Extraction
- Principle:Unstructured IO Unstructured Memory Profiling
- Principle:Lm sys FastChat Battle Data Cleaning
- Principle:Openai Openai agents python Streamed Run Invocation
- Principle:Intel Ipex llm DPO Training
- Principle:Langgenius Dify ErrorHandling
- Principle:Facebookresearch Habitat lab Environment Setup
- Principle:FMInference FlexLLMGen Optimized Inference Engine
- Principle:Pytorch Serve Cloud Deployment
- Principle:Ollama Ollama GGUF Model Conversion Mistral
Implementations
- Implementation:Open compass VLMEvalKit OmniDocBench Data Preprocess
- Implementation:Mit han lab Llm awq NVILA Builder
- Implementation:Lance format Lance MapEncoding
- Implementation:Datajuicer Data juicer Execute HPO 3Sigma
- Implementation:Mlflow Mlflow Sidebars GenAI
- Implementation:InternLM Lmdeploy XgrammarBind
- Implementation:OpenGVLab InternVL Classification Utils
- Implementation:Huggingface Peft Constants
- Implementation:CrewAIInc CrewAI Patronus Eval Tool
- Implementation:Ollama Ollama Convert Gemma
Heuristics
- Heuristic:Vllm project Vllm Attention Backend Selection
- Heuristic:Fede1024 Rust rdkafka Regular Polling Required
- Heuristic:ARISE Initiative Robomimic Rollout Horizon Selection
- Heuristic:Deepseek ai Janus CFG Weight Tuning
- Heuristic:Ggml org Ggml Thread Count Selection
- Heuristic:Togethercomputer Together python Multipart Upload Strategy
- Heuristic:SqueezeAILab ETS Embedding Model GPU Collocation
- Heuristic:Mistralai Client python Retry Backoff Strategy
- Heuristic:Snorkel team Snorkel DataParallel Default Behavior
- Heuristic:Openai Openai agents python MCP Server Lifecycle Management
Environments
- Environment:Arize ai Phoenix LLM Provider SDKs
- Environment:FlowiseAI Flowise Node Runtime Environment
- Environment:Huggingface Datasets TensorFlow Integration
- Environment:OpenGVLab InternVL PEFT LoRA
- Environment:Apache Druid Druid Cluster Api
- Environment:Kubeflow Pipelines KFP Backend Deployment
- Environment:OWASP Www project top 10 for large language model applications Pydantic Invoice Agent Runtime
- Environment:Puppeteer Puppeteer Configuration Environment Variables
- Environment:Ray project Ray Python Runtime Environment
- Environment:MaterializeInc Materialize Dbt Materialize Runtime