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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 |
Explore Pages
Workflows
- Workflow:Mlfoundations Open flamingo Data Preparation
- Workflow:Hpcaitech ColossalAI LLaMA Continual Pretraining
- Workflow:Datajuicer Data juicer LLM Powered Data Generation
- Workflow:Tensorflow Tfjs Pretrained Model Conversion And Inference
- Workflow:Dagster io Dagster Dbt Integration
- Workflow:Apache Hudi Docker Demo Setup
- Workflow:Huggingface Optimum GPTQ Quantization
- Workflow:OpenHands OpenHands Conversation Lifecycle Management
- Workflow:Cleanlab Cleanlab Object Detection Label Quality
- Workflow:Google deepmind Mujoco Simulation benchmarking
Principles
- Principle:Nightwatchjs Nightwatch BDD Style Expect Assertions
- Principle:Deepset ai Haystack Semantic Answer Similarity Evaluation
- Principle:SeldonIO Seldon core Explanation Generation
- Principle:Langfuse Langfuse Experiment Configuration Validation
- Principle:Heibaiying BigData Notes Flink Streaming Environment
- Principle:Haosulab ManiSkill Camera Depth Sensor Abstraction
- Principle:Deepset ai Haystack BM25 Keyword Retrieval
- Principle:DataExpert io Data engineer handbook SCD Type 2 Transformation
- Principle:Apache Spark Dependency Pinning
- Principle:Huggingface Alignment handbook Reasoning Mid Training
Implementations
- Implementation:Apache Druid TransformTable
- Implementation:SeldonIO Seldon core Seldon Model Status
- Implementation:Vibrantlabsai Ragas LangChainEvaluatorChain
- Implementation:TobikoData Sqlmesh API Directories
- Implementation:Online ml River Tree MondrianTreeClassifier
- Implementation:NVIDIA TransformerEngine JAX Triton Utils
- Implementation:Online ml River Linear Model SoftmaxRegression
- Implementation:Volcengine Verl Datasets Load Dataset
- Implementation:Online ml River Bandit BayesUCB
- Implementation:Openai Openai python Shared Response Format JSON Schema
Heuristics
- Heuristic:Iamhankai Forest of Thought Input Length Overflow Recovery
- Heuristic:Mlc ai Web llm Tokenizer JSON Preference
- Heuristic:Dotnet Machinelearning Numerical Stability Guards
- Heuristic:Dagster io Dagster Mandatory Ruff Formatting
- Heuristic:Hiyouga LLaMA Factory Gradient Checkpointing Memory Optimization
- Heuristic:Gretelai Gretel synthetics Binary Encoder Cutoff
- Heuristic:PrefectHQ Prefect SQLite Performance Tuning
- Heuristic:Vibrantlabsai Ragas Temperature Sampling Strategy
- Heuristic:DevExpress Testcafe Docker Chrome Tab Retry
- Heuristic:Apache Kafka Log4j Migration Compatibility
Environments
- Environment:Langgenius Dify Python Backend Environment
- Environment:ChenghaoMou Text dedup Python 3 12 Environment
- Environment:Shiyu coder Kronos Comet ML Logging
- Environment:Predibase Lorax Python Server Dependencies
- Environment:Iterative Dvc Git SCM Environment
- Environment:Neuml Txtai API Server Configuration
- Environment:Deepspeedai DeepSpeed Multi Accelerator Environment
- Environment:TobikoData Sqlmesh GitHub CICD Runner
- Environment:Sgl project Sglang CUDA SM100
- Environment:Datajuicer Data juicer Python Runtime Environment