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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 Flink Async Sink Lifecycle
- Workflow:FlagOpen FlagEmbedding Embedder Finetuning
- Workflow:Openai Evals Creating a model graded eval
- Workflow:Mlflow Mlflow Prompt Management
- Workflow:LLMBook zh LLMBook zh github io LoRA Finetuning
- Workflow:Langchain ai Langgraph CLI Deployment
- Workflow:Wandb Weave Evaluation Pipeline
- Workflow:Infiniflow Ragflow Chat Application Setup
- Workflow:DataTalksClub Data engineering zoomcamp Docker PostgreSQL Data Ingestion
- Workflow:Datahub project Datahub Docker Quickstart Deployment
Principles
- Principle:Volcengine Verl Multimodal Data Preparation
- Principle:Zai org CogVideo I2V Pipeline Loading
- Principle:NVIDIA TransformerEngine Complete Transformer Layer
- Principle:Diagram of thought Diagram of thought Trace Report Generation
- Principle:Tensorflow Serving Resource Arithmetic
- Principle:Promptfoo Promptfoo Provider Registry
- Principle:Huggingface Optimum Hub File Management
- Principle:Scikit learn contrib Imbalanced learn Dataset Imbalancing
- Principle:Huggingface Optimum Calibration Data Preparation
- Principle:Spotify Luigi Hadoop Job Configuration
Implementations
- Implementation:Mlc ai Mlc llm Batch Prefill Base
- Implementation:FlowiseAI Flowise UpsertHistoryDialog
- Implementation:Puppeteer Puppeteer Common Types
- Implementation:Liu00222 Open Prompt Injection Model query
- Implementation:Ray project Ray PyFunction CppFunction Of
- Implementation:Langchain ai Langgraph Entrypoint Final
- Implementation:Hpcaitech ColossalAI Train PPO Script
- Implementation:Vllm project Vllm SM100 MLA Device
- Implementation:Bitsandbytes foundation Bitsandbytes Fix 4bit Weight Quant State
- Implementation:Vibrantlabsai Ragas Faithfulness
Heuristics
- Heuristic:Mlc ai Mlc llm OpenCL Memory Floor Workaround
- Heuristic:Facebookresearch Habitat lab Resume State Config Override
- Heuristic:Recommenders team Recommenders SAR Cold Start Items
- Heuristic:SqueezeAILab ETS Embedding Model GPU Collocation
- Heuristic:Mlflow Mlflow Model Signature Inference Tips
- Heuristic:CarperAI Trlx Batch Size Tuning
- Heuristic:TA Lib Ta lib python Thread Safety With Abstract API
- Heuristic:AUTOMATIC1111 Stable diffusion webui Cross Attention Memory Slicing
- Heuristic:SqueezeAILab ETS Softmax Temperature Tuning
- Heuristic:Haifengl Smile Quarkus Async Context Handling
Environments
- Environment:Open compass VLMEvalKit Data Storage Environment
- Environment:DataExpert io Data engineer handbook Python Development Environment
- Environment:Huggingface Alignment handbook Evaluation Tools
- Environment:Eric mitchell Direct preference optimization Python Dependencies
- Environment:Protectai Llm guard Python Runtime Dependencies
- Environment:Evidentlyai Evidently Spark Engine Environment
- Environment:Risingwavelabs Risingwave Docker Deployment Environment
- Environment:Axolotl ai cloud Axolotl Multi GPU
- Environment:Cohere ai Cohere python AWS Integration Dependencies
- Environment:FlowiseAI Flowise Database Environment