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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:Duckdb Duckdb Building From Source
- Workflow:Openai Openai node Structured Output Parsing
- Workflow:Hpcaitech ColossalAI Supervised Finetuning
- Workflow:PeterL1n BackgroundMattingV2 Model export
- Workflow:Kubeflow Kubeflow Release Management
- Workflow:OWASP Www project top 10 for large language model applications Vulnerability Entry Development
- Workflow:Lucidrains X transformers DPO Preference Alignment
- Workflow:Unslothai Unsloth Vision Model Finetuning
- Workflow:Treeverse LakeFS External Data Import
- Workflow:Triton inference server Server Quickstart Model Deployment
Principles
- Principle:Sktime Pytorch forecasting Quantile Loss
- Principle:Apache Flink Element Conversion
- Principle:Sktime Pytorch forecasting Object Registry
- Principle:Pytorch Serve vLLM Model Configuration
- Principle:Duckdb Duckdb Benchmark Build Configuration
- Principle:AUTOMATIC1111 Stable diffusion webui Component Reuse
- Principle:Datajuicer Data juicer Correlation Analysis
- Principle:VainF Torch Pruning BN Scale Regularization
- Principle:OpenHands OpenHands Sandbox Command Execution
- Principle:Alibaba MNN Output Postprocessing
Implementations
- Implementation:Open compass VLMEvalKit Dynamath
- Implementation:Run llama Llama index Settings Embed Model Assignment
- Implementation:Roboflow Rf detr Roboflow Inference SDK
- Implementation:Avhz RustQuant Sequences
- Implementation:Google deepmind Mujoco GLFW Adapter
- Implementation:Danijar Dreamerv3 Train Loop
- Implementation:Openai Openai node Files WaitForProcessing
- Implementation:Langchain ai Langgraph Storm Example
- Implementation:Puppeteer Puppeteer Browsers Main
- Implementation:Mbzuai oryx Awesome LLM Post training Git Commit Push
Heuristics
- Heuristic:Mlfoundations Open flamingo Hungarian MMC4 Image Text Matching
- Heuristic:Deepset ai Haystack Warning Deprecated TransformersSimilarityRanker
- Heuristic:Haosulab ManiSkill GPU Memory Buffer Tuning
- Heuristic:Haotian liu LLaVA Tokenizer Version Offset Correction
- Heuristic:Ray project Ray NaN Score Filtering In PBT
- Heuristic:SeleniumHQ Selenium Warning Deprecated Proxy FTP Methods
- Heuristic:MaterializeInc Materialize Dbt Transaction Disable
- Heuristic:Huggingface Datasets Flatten Indices Performance
- Heuristic:Vllm project Vllm GPU Memory Utilization Tuning
- Heuristic:Cleanlab Cleanlab Confident Threshold Heuristic
Environments
- Environment:Farama Foundation Gymnasium JAX Functional Backend
- Environment:Heibaiying BigData Notes Storm 1 2 Environment
- Environment:Mlflow Mlflow Docker Container Environment
- Environment:LMCache LMCache NIXL Transfer Library
- Environment:Mistralai Client python GCP Deployment Environment
- Environment:Sgl project Sglang CUDA Runtime
- Environment:Kserve Kserve SRIOV RDMA Network
- Environment:PacktPublishing LLM Engineers Handbook API Credentials
- Environment:Alibaba ROLL Python Runtime Environment
- Environment:Microsoft Onnxruntime Sklearn Conversion Environment