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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:Langgenius Dify Knowledge Base Management
- Workflow:Lucidrains X transformers Encoder Decoder Sequence to Sequence
- Workflow:Pyro ppl Pyro Bayesian Regression
- Workflow:FMInference FlexLLMGen Data Wrangling Batch Inference
- Workflow:Duckdb Duckdb Extension Development And Distribution
- Workflow:LMCache LMCache Disaggregated Prefill
- Workflow:SeleniumHQ Selenium Chrome DevTools Protocol Integration
- Workflow:Datajuicer Data juicer Dataset Quality Analysis
- Workflow:Dagster io Dagster Dbt Integration
- Workflow:Rapidsai Cuml Dimensionality Reduction
Principles
- Principle:Interpretml Interpret Score Tensor Harmonization
- Principle:Huggingface Optimum Backend Pipeline Dispatch
- Principle:Microsoft Semantic kernel Kernel Construction
- Principle:Ggml org Llama cpp Fine Tuning
- Principle:Datajuicer Data juicer Operator Module Registration
- Principle:LaurentMazare Tch rs Tensor Iteration
- Principle:Apache Druid Visualization Module Selection
- Principle:Datahub project Datahub OpenLineage Conversion
- Principle:Huggingface Transformers Model Evaluation
- Principle:Confident ai Deepeval LLM Span Enrichment
Implementations
- Implementation:Ollama Ollama Create Imagegen
- Implementation:Google deepmind Dm control Build Neck
- Implementation:Danijar Dreamerv3 Train Loop
- Implementation:Ggml org Llama cpp Model Header
- Implementation:Zai org CogVideo Export To Video
- Implementation:Google deepmind Mujoco Render GL2 Header
- Implementation:TobikoData Sqlmesh Api Instance
- Implementation:Scikit learn Scikit learn SupervisedClusterMetrics
- Implementation:Bigscience workshop Petals InferenceSession
- Implementation:Ucbepic Docetl MOAR CliHelpers
Heuristics
- Heuristic:Tensorflow Serving GPU Memory And CPU Optimization
- Heuristic:Huggingface Alignment handbook EOS Token Alignment
- Heuristic:Bigscience workshop Petals NF4 Quantization Default On CUDA
- Heuristic:Mlfoundations Open flamingo Gradient Clipping Max Norm
- Heuristic:Predibase Lorax GPU Sampling Optimization
- Heuristic:Mbzuai oryx Awesome LLM Post training Excel Sheet Name Truncation
- Heuristic:Webdriverio Webdriverio Mobile Platform Differences
- Heuristic:Mage ai Mage ai Sorted Data Bookmark Strategy
- Heuristic:Gretelai Gretel synthetics Parallel Generation CUDA Disable
- Heuristic:Huggingface Trl Gradient Checkpointing Use Reentrant
Environments
- Environment:Hpcaitech ColossalAI ColossalChat Training Environment
- Environment:OpenRLHF OpenRLHF Flash Attention Environment
- Environment:Openclaw Openclaw Docker Deployment Environment
- Environment:Speechbrain Speechbrain Speech Enhancement Dependencies
- Environment:Promptfoo Promptfoo Provider API Keys
- Environment:Vllm project Vllm Benchmarks
- Environment:Ggml org Llama cpp CUDA GPU Environment
- Environment:CARLA simulator Carla Simulation Runtime
- Environment:Promptfoo Promptfoo Python Runtime
- Environment:Scikit learn Scikit learn OpenMP Thread Configuration