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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:Pola rs Polars SQL Query Interface
- Workflow:Explodinggradients Ragas Prompt Evaluation And Iteration
- Workflow:Microsoft Agent framework Graph Based Workflow Execution
- Workflow:Microsoft Playwright Network mocking and interception
- Workflow:Scikit learn Scikit learn Ensemble Model Building
- Workflow:SeldonIO Seldon core Inference Pipeline
- Workflow:Cohere ai Cohere python Model Finetuning
- Workflow:Getgauge Taiko Network Request Interception
- Workflow:NVIDIA DALI Image Preprocessing Pipeline
- Workflow:Googleapis Python genai Multi Turn Chat
Principles
- Principle:Trailofbits Fickling File Corruption Detection
- Principle:SeleniumHQ Selenium CDP Session Management
- Principle:Helicone Helicone Asynchronous Log Queuing
- Principle:Norrrrrrr lyn WAInjectBench GPU Device Placement
- Principle:Hiyouga LLaMA Factory Sequence Packing Theory
- Principle:Bitsandbytes foundation Bitsandbytes FSDP 4bit Quantization
- Principle:Princeton nlp Tree of thought llm Task Instantiation
- Principle:Apache Spark Write Ahead Logging
- Principle:Gretelai Gretel synthetics GAN Model Persistence
- Principle:Interpretml Interpret Interactive Visualization Rendering
Implementations
- Implementation:Eric mitchell Direct preference optimization Concatenated Inputs Fn
- Implementation:Scikit learn Scikit learn NearestCentroid
- Implementation:TA Lib Ta lib python Abstract Input Preparation
- Implementation:Lance format Lance Optimize Indices
- Implementation:TobikoData Sqlmesh EditorCode
- Implementation:SeleniumHQ Selenium ChromeDriverService CreateDefaultService
- Implementation:Mit han lab Llm awq LlavaMetaForCausalLM
- Implementation:Lance format Lance Commit Compaction
- Implementation:Vespa engine Vespa Embedder Embed
- Implementation:Tencent Ncnn YOLOv3 Example
Heuristics
- Heuristic:Pytorch Serve Ampere Tensor Core Optimization
- Heuristic:Mbzuai oryx Awesome LLM Post training Paper Deduplication Via Dict
- Heuristic:Langgenius Dify Workflow Draft Hash Sync
- Heuristic:Sgl project Sglang Attention Backend Selection
- Heuristic:Deepset ai Haystack Logging Auto Detection
- Heuristic:Sgl project Sglang Chunked Prefill OOM Prevention
- Heuristic:Snorkel team Snorkel Binary Only Slicing
- Heuristic:Run llama Llama index Embedding Batch Size Tuning
- Heuristic:ClickHouse ClickHouse Test Writing Conventions
- Heuristic:Allenai Open instruct GPU Memory Utilization
Environments
- Environment:Pytorch Serve vLLM Engine Environment
- Environment:Unstructured IO Unstructured All Docs
- Environment:Openclaw Openclaw Mintlify Documentation Platform
- Environment:Dagster io Dagster Container Resource Monitoring
- Environment:AUTOMATIC1111 Stable diffusion webui Python And PyTorch Runtime
- Environment:LLMBook zh LLMBook zh github io HuggingFace Transformers Stack
- Environment:Apache Hudi Flink Runtime Environment
- Environment:Huggingface Alignment handbook Evaluation Tools
- Environment:Datahub project Datahub Docker Quickstart Environment
- Environment:Hpcaitech ColossalAI ColossalChat Training Environment