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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:Predibase Lorax Multi Adapter Merging
- Workflow:Vllm project Vllm OpenAI Compatible Serving
- Workflow:Triton inference server Server Model Performance Tuning
- Workflow:Huggingface Diffusers Video Generation
- Workflow:Testtimescaling Testtimescaling github io GitHub Pages Course Progression
- Workflow:Huggingface Open r1 Model Evaluation
- Workflow:Huggingface Datatrove Common Crawl Processing
- Workflow:Mlflow Mlflow Experiment Tracking
- Workflow:Vespa engine Vespa Linguistics text processing pipeline
- Workflow:Kserve Kserve Multi Model Serving
Principles
- Principle:Protectai Llm guard Prompt Scanning
- Principle:Ggml org Llama cpp Draft Model Loading
- Principle:FMInference FlexLLMGen Autotuning Experiment Scheduling
- Principle:Puppeteer Puppeteer PDF Generation
- Principle:Huggingface Datatrove Text Encoding Repair
- Principle:Sdv dev SDV Inequality Constraint
- Principle:Infiniflow Ragflow Infrastructure Orchestration
- Principle:Evidentlyai Evidently LLM Judge Evaluation
- Principle:Turboderp org Exllamav2 KV Cache Allocation
- Principle:ThreeSR Awesome Inference Time Scaling Readme Merge And Sort
Implementations
- Implementation:TobikoData Sqlmesh Tracker Plan Apply
- Implementation:Tencent Ncnn YOLOv4 Example
- Implementation:Apache Flink Pool
- Implementation:Online ml River Anomaly ThresholdFilter
- Implementation:Farama Foundation Gymnasium ArrayConversion
- Implementation:Microsoft Playwright BidiSerializer
- Implementation:Langchain ai Langgraph AsyncPostgresStore
- Implementation:ContextualAI HALOs Online Loop Script
- Implementation:Vllm project Vllm SamplingParams Init
- Implementation:NVIDIA TransformerEngine Llama Replace Params
Heuristics
- Heuristic:Langgenius Dify SQL Escape Backslash First
- Heuristic:Huggingface Datasets Warning Deprecated Pandas Builder
- Heuristic:VainF Torch Pruning GQA Head Pruning Constraints
- Heuristic:Ggml org Llama cpp Quantization Quality Tips
- Heuristic:Bitsandbytes foundation Bitsandbytes Blocksize Platform Defaults
- Heuristic:LMCache LMCache Chunk Size And Default Config
- Heuristic:Deepset ai Haystack BM25 Score Scaling
- Heuristic:Mlfoundations Open flamingo Loss Masking Strategy
- Heuristic:Mage ai Mage ai Sorted Data Bookmark Strategy
- Heuristic:ClickHouse ClickHouse Banned Functions Thread Safety
Environments
- Environment:Neuml Txtai API Server Configuration
- Environment:Scikit learn Scikit learn OpenMP Thread Configuration
- Environment:Datahub project Datahub Python Ingestion
- Environment:Cypress io Cypress Node Runtime Environment
- Environment:Protectai Modelscan Python Core Runtime
- Environment:Langfuse Langfuse S3 Compatible Storage
- Environment:Sgl project Sglang Distributed
- Environment:Langfuse Langfuse ClickHouse Analytics
- Environment:Explodinggradients Ragas Optional Metrics Environment
- Environment:Tencent Ncnn PyTorch Environment