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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:Googleapis Python genai Multi Turn Chat
- Workflow:Scikit learn contrib Imbalanced learn Balanced Deep Learning Training
- Workflow:Bigscience workshop Petals Prompt Tuning Classification
- Workflow:Protectai Llm guard PII Anonymization Deanonymization
- Workflow:Microsoft LoRA NLU GLUE Finetuning
- Workflow:Nautechsystems Nautilus trader Backtest with BacktestNode
- Workflow:EvolvingLMMs Lab Lmms eval Custom Model Integration
- Workflow:Teamcapybara Capybara Selenium Driver Configuration
- Workflow:Openai Openai agents python Tool Integrated Agent
- Workflow:Heibaiying BigData Notes Kafka Producer Consumer Pipeline
Principles
- Principle:Infiniflow Ragflow Embedding Generation
- Principle:Ggml org Llama cpp Base64 Encoding
- Principle:AUTOMATIC1111 Stable diffusion webui Weight interpolation methods
- Principle:NVIDIA DALI Custom Operator Class Definition
- Principle:Turboderp org Exllamav2 Quantization Sensitivity Measurement
- Principle:Togethercomputer Together python Batch Input Preparation
- Principle:Langgenius Dify Plugin Discovery
- Principle:Interpretml Interpret EBM JSON Serialization
- Principle:Langgenius Dify Workflow Execution Monitoring
- Principle:Ucbepic Docetl Pipeline Optimization Search
Implementations
- Implementation:Ollama Ollama Llama Arch
- Implementation:BerriAI Litellm Deployment Types
- Implementation:Openai Openai python API Resource Base
- Implementation:Langchain ai Langchain FireworksLLM
- Implementation:FlowiseAI Flowise ArrayRenderer
- Implementation:AUTOMATIC1111 Stable diffusion webui SD3 Conditioning
- Implementation:Ucbepic Docetl CodeOperations
- Implementation:Langgenius Dify I18n Resources
- Implementation:CrewAIInc CrewAI OCR Tool
- Implementation:CarperAI Trlx Trlx Train Offline
Heuristics
- Heuristic:Axolotl ai cloud Axolotl FSDP Configuration Guide
- Heuristic:Scikit learn contrib Imbalanced learn Sparse Matrix Handling
- Heuristic:Ggml org Ggml Thread Count Selection
- Heuristic:Datahub project Datahub Gradle Task Only
- Heuristic:Tensorflow Serving Model Warmup Strategy
- Heuristic:Guardrails ai Guardrails RAIL Argument Parsing Security
- Heuristic:Iamhankai Forest of Thought Tree Iteration Scaling
- Heuristic:Roboflow Rf detr Batch Size Memory Tradeoff
- Heuristic:BerriAI Litellm SSL Cipher Optimization
- Heuristic:Explodinggradients Ragas Embedding Batch Size Tuning
Environments
- Environment:Helicone Helicone Python ClickHouse Migrations
- Environment:Guardrails ai Guardrails LLM Provider API Keys
- Environment:Heibaiying BigData Notes Kafka 2 2 Environment
- Environment:ArroyoSystems Arroyo Webui Runtime
- Environment:Recommenders team Recommenders Spark Environment
- Environment:Dotnet Machinelearning Platform Architecture Support
- Environment:Langchain ai Langchain Unit Test Network Isolation
- Environment:Apache Shardingsphere ZooKeeper Cluster Coordination
- Environment:Neuml Txtai Optional Extras Dependencies
- Environment:Huggingface Peft Python Core Dependencies