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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:Onnx Onnx External Data Handling
- Workflow:Axolotl ai cloud Axolotl Full Finetuning Distributed
- Workflow:Hpcaitech ColossalAI Supervised Finetuning
- Workflow:Bitsandbytes foundation Bitsandbytes 8bit LLM Int8 Inference
- Workflow:Alibaba MNN LLM Deployment Pipeline
- Workflow:Huggingface Diffusers Video Generation
- Workflow:Langgenius Dify Plugin Management
- Workflow:NVIDIA DALI Image Preprocessing Pipeline
- Workflow:Triton inference server Server Model Performance Tuning
- Workflow:AnswerDotAI RAGatouille ColBERT Training
Principles
- Principle:Apache Kafka Cherry Pick Backport
- Principle:SeldonIO Seldon core Tabular Data Query Filtering
- Principle:Nightwatchjs Nightwatch Custom Assertion Creation
- Principle:Dagster io Dagster Dbt Project Integration
- Principle:Deepspeedai DeepSpeed DeepCompile Graph Optimization
- Principle:Zai org CogVideo Activation Normalization
- Principle:Duckdb Duckdb Prerequisite Code Generation
- Principle:Mlflow Mlflow Documentation Site Configuration
- Principle:EvolvingLMMs Lab Lmms eval Queue Monitoring
- Principle:Spcl Graph of thoughts Result Serialization
Implementations
- Implementation:Recommenders team Recommenders Sequential Iterator
- Implementation:Open compass VLMEvalKit MEGABench Analysis Utils
- Implementation:Mage ai Mage ai Chargebee Common Customers Schema
- Implementation:Kserve Kserve Prediction Request Protocol
- Implementation:SeldonIO Seldon core Seldon Model Load For Monitoring
- Implementation:CarperAI Trlx NeMo SFT Model
- Implementation:Interpretml Interpret Powerlift RunAzureVM
- Implementation:MarketSquare Robotframework browser Wait For Navigation
- Implementation:Openai Openai python Response Input Param
- Implementation:Bentoml BentoML Framework PicklableModel
Heuristics
- Heuristic:Tensorflow Serving GPU Memory And CPU Optimization
- Heuristic:PrefectHQ Prefect Task Timeout Thread Limitation
- Heuristic:Snorkel team Snorkel Minimum Three LFs
- Heuristic:PacktPublishing LLM Engineers Handbook RAG Retrieval Parameters
- Heuristic:Triton inference server Server Model Instance Scaling
- Heuristic:DataExpert io Data engineer handbook Docker Volume Persistence Management
- Heuristic:Elevenlabs Elevenlabs python TTS Model Selection
- Heuristic:Confident ai Deepeval Dotenv Loading Order
- Heuristic:Openai Evals Event Batching Configuration
- Heuristic:Deepset ai Haystack BM25 Score Scaling
Environments
- Environment:Mit han lab Llm awq VILA Multimodal Environment
- Environment:Shiyu coder Kronos DDP Multi GPU Environment
- Environment:Ggml org Llama cpp Vulkan GPU Environment
- Environment:Predibase Lorax Python Server Dependencies
- Environment:Unstructured IO Unstructured GitHub Actions
- Environment:BerriAI Litellm PostgreSQL Database
- Environment:Truera Trulens Streamlit Dashboard Environment
- Environment:Intel Ipex llm RAG LlamaIndex Environment
- Environment:Eventual Inc Daft AI Provider Dependencies
- Environment:Unstructured IO Unstructured All Docs