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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 Function Calling and Tools
- Workflow:DistrictDataLabs Yellowbrick Regression Model Evaluation
- Workflow:Explodinggradients Ragas RAG Evaluation
- Workflow:Deepset ai Haystack RAG Pipeline
- Workflow:Haifengl Smile Data Loading Pipeline
- Workflow:Webdriverio Webdriverio Standalone Browser Automation
- Workflow:Microsoft LoRA GPT2 NLG Finetuning
- Workflow:Sdv dev SDV Data quality evaluation
- Workflow:Tencent Ncnn Image Classification Inference
- Workflow:PrefectHQ Prefect API Sourced ETL
Principles
- Principle:Tensorflow Serving Multi Inference
- Principle:Speechbrain Speechbrain Transformer ASR Training
- Principle:Speechbrain Speechbrain Dataset Specific Data Preparation
- Principle:SeleniumHQ Selenium CDP Command Execution
- Principle:Ggml org Ggml Tensor Creation
- Principle:Sdv dev SDV DayZ Single Table Parameter Detection
- Principle:FlowiseAI Flowise Execution Monitoring
- Principle:Datahub project Datahub V2 Client Setup
- Principle:ARISE Initiative Robosuite HDF5 Dataset Aggregation
- Principle:Mistralai Client python Embedding Response Processing
Implementations
- Implementation:Haifengl Smile DenseMatrix Factory
- Implementation:Online ml River FeatureExtraction PolynomialExtender
- Implementation:Online ml River Stream Shuffle
- Implementation:Openai Openai python Response MCP Call Args Delta
- Implementation:Openai Openai node ChatCompletionStream Class
- Implementation:OpenHands OpenHands JiraIntegrationStore
- Implementation:Scikit learn contrib Imbalanced learn fetch datasets
- Implementation:Apache Shardingsphere DefaultDistributedLock Lock
- Implementation:Infiniflow Ragflow Common Constants
- Implementation:Ucbepic Docetl AIChatPanel
Heuristics
- Heuristic:CarperAI Trlx KL Coefficient Adaptation
- Heuristic:Shiyu coder Kronos Learning Rate And Optimizer Tuning
- Heuristic:Speechbrain Speechbrain Dynamic Mixing Parameters
- Heuristic:Togethercomputer Together python Retry Backoff Strategy
- Heuristic:Spotify Luigi Streaming MapReduce Processing
- Heuristic:Langchain ai Langchain Error Context Preservation
- Heuristic:Confident ai Deepeval Dotenv Loading Order
- Heuristic:Alibaba ROLL KL Coefficient Tuning
- Heuristic:Unstructured IO Unstructured PDF Element Sorting
- Heuristic:Ggml org Ggml Memory Allocation Strategy
Environments
- Environment:Sail sg LongSpec Inference Environment
- Environment:Getgauge Taiko Chromium Browser
- Environment:Explodinggradients Ragas Optional Metrics Environment
- Environment:Vllm project Vllm CPU Runtime
- Environment:Huggingface Peft BitsAndBytes Quantization
- Environment:Tensorflow Serving Docker Runtime Environment
- Environment:Risingwavelabs Risingwave Rust Build Environment
- Environment:Togethercomputer Together python Fine Tuning Data Requirements
- Environment:Astronomer Astronomer cosmos Cloud Provider Dependencies
- Environment:Confident ai Deepeval LLM Provider Credentials