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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 File Sink Pipeline
- Workflow:ARISE Initiative Robosuite Environment Setup And Simulation
- Workflow:Evidentlyai Evidently ML Model Quality Report
- Workflow:Hiyouga LLaMA Factory Model Export and Merging
- Workflow:Apache Dolphinscheduler RPC Service Communication
- Workflow:Google research Deduplicate text datasets Wiki40B TFDS deduplication
- Workflow:Lakeraai Pint benchmark Custom System Evaluation
- Workflow:Risingwavelabs Risingwave Sink Connector Pipeline
- Workflow:Deepspeedai DeepSpeed Sequence Parallel Long Context Training
- Workflow:Diagram of thought Diagram of thought DoT Trace Extraction
Principles
- Principle:Ollama Ollama Chat Template System
- Principle:Scikit learn Scikit learn Voting Ensemble
- Principle:Microsoft Semantic kernel Metadata Filtering
- Principle:OWASP Www project top 10 for large language model applications Threat Modeling Against Top 10
- Principle:Cypress io Cypress Monorepo Dependency Management
- Principle:FlowiseAI Flowise Docker Deployment
- Principle:Pyro ppl Pyro Coalescent Process
- Principle:CARLA simulator Carla Content Asset Management
- Principle:Iterative Dvc Experiment Workspace Preparation
- Principle:Facebookresearch Habitat lab Metric Visualization
Implementations
- Implementation:Scikit learn Scikit learn AllEstimators
- Implementation:Haosulab ManiSkill UnitreeG1
- Implementation:CARLA simulator Carla GlobalRoutePlanner Trace Route
- Implementation:Speechbrain Speechbrain Train TimersAndSuch Decoupled
- Implementation:Apache Druid TimeMenuItems
- Implementation:Farama Foundation Gymnasium Save Video
- Implementation:Microsoft Agent framework Response Handler Decorator
- Implementation:SeleniumHQ Selenium Closure Functions
- Implementation:Tensorflow Tfjs Exports Initializers
- Implementation:Rapidsai Cuml KMeans DBSCAN HDBSCAN Fit
Heuristics
- Heuristic:PeterL1n BackgroundMattingV2 Mixed Precision Training
- Heuristic:Fede1024 Rust rdkafka Main Queue Poll Interval
- Heuristic:Zai org CogVideo BF16 FP16 Precision Selection
- Heuristic:Huggingface Open r1 Test Batch Early Termination
- Heuristic:VainF Torch Pruning AutoGrad Dependency Graph
- Heuristic:Princeton nlp SimPO Concatenated Forward Pass
- Heuristic:Confident ai Deepeval Secret Management Best Practices
- Heuristic:Mage ai Mage ai Batch Size Tuning
- Heuristic:Bitsandbytes foundation Bitsandbytes CuBLAS Int8 Dimension Alignment
- Heuristic:Turboderp org Exllamav2 Quantization Conversion Tips
Environments
- Environment:Lucidrains X transformers PyTorch CUDA
- Environment:ClickHouse ClickHouse Systemd Runtime
- Environment:Sktime Pytorch forecasting Core Python Dependencies
- Environment:Explodinggradients Ragas Optional Metrics Environment
- Environment:Heibaiying BigData Notes Storm 1 2 Environment
- Environment:Huggingface Diffusers Quantization Environment
- Environment:CrewAIInc CrewAI Optional Provider Dependencies
- Environment:Mbzuai oryx Awesome LLM Post training Python Pandas
- Environment:Microsoft BIPIA DeepSpeed Finetuning Environment
- Environment:Allenai Open instruct CUDA GPU Training