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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:Fede1024 Rust rdkafka Async Stream Processing
- Workflow:FlowiseAI Flowise Chatbot Deployment
- Workflow:Webdriverio Webdriverio Standalone Browser Automation
- Workflow:LLMBook zh LLMBook zh github io LoRA Finetuning
- Workflow:Openai Openai python Fine Tuning Job Management
- Workflow:OpenHands OpenHands Organization Onboarding
- Workflow:Pyro ppl Pyro MCMC Inference
- Workflow:Speechbrain Speechbrain CTC ASR Training
- Workflow:Microsoft LoRA GPT2 NLG Finetuning
- Workflow:Apache Hudi Flink Streaming Write
Principles
- Principle:Openai Evals Eval Resolution
- Principle:FlowiseAI Flowise Flow Management
- Principle:Tencent Ncnn Hardware Capability Detection
- Principle:Openai Openai agents python Shared Context
- Principle:Guardrails ai Guardrails ValidationPipeline
- Principle:Langchain ai Langgraph Type System
- Principle:LLMBook zh LLMBook zh github io Direct Preference Optimization
- Principle:Shiyu coder Kronos Qlib Experiment Configuration
- Principle:Ollama Ollama Model Architecture Support
- Principle:Spcl Graph of thoughts Thought Generation
Implementations
- Implementation:Kubeflow Pipelines Metadata Writer
- Implementation:Arize ai Phoenix LLM Prompts
- Implementation:Recommenders team Recommenders ImplicitCF
- Implementation:Mbzuai oryx Awesome LLM Post training Fetch Paper Details
- Implementation:FMInference FlexLLMGen DeepSpeed Runtime Config
- Implementation:Openai Openai python Response Format Text JSON Schema
- Implementation:Marker Inc Korea AutoRAG CohereReranker
- Implementation:Huggingface Diffusers VaeImageProcessor Postprocess
- Implementation:EvolvingLMMs Lab Lmms eval Lmms Is Simple
- Implementation:Langchain ai Langchain Check Diff CI Detection
Heuristics
- Heuristic:Unstructured IO Unstructured Hi Res Model Configuration
- Heuristic:Hpcaitech ColossalAI CUDA Device Max Connections Tip
- Heuristic:Kserve Kserve Autoscaler Concurrency Target
- Heuristic:Microsoft Semantic kernel Prompt Injection Safety
- Heuristic:CarperAI Trlx Batch Size Tuning
- Heuristic:DataExpert io Data engineer handbook Flink Checkpointing Interval Tuning
- Heuristic:Openclaw Openclaw Warning Suppression For Known Deprecations
- Heuristic:Confident ai Deepeval Secret Management Best Practices
- Heuristic:ThreeSR Awesome Inference Time Scaling Date Parsing Fallback Tip
- Heuristic:Alibaba ROLL KL Coefficient Tuning
Environments
- Environment:Microsoft Onnxruntime CPU Training Environment
- Environment:Bigscience workshop Petals CUDA Server
- Environment:Openai Whisper Triton
- Environment:Mlfoundations Open flamingo HuggingFace Open CLIP Dependencies
- Environment:Deepspeedai DeepSpeed Multi Accelerator Environment
- Environment:DataTalksClub Data engineering zoomcamp PySpark Batch Environment
- Environment:Unstructured IO Unstructured OpenAI API
- Environment:Promptfoo Promptfoo SQLite Database
- Environment:SeleniumHQ Selenium Contributor Development Environment
- Environment:DataTalksClub Data engineering zoomcamp Dlt BigQuery Environment