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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:Puppeteer Puppeteer Browser Installation And Management
- Workflow:SeleniumHQ Selenium Selenium Grid Deployment
- Workflow:ChenghaoMou Text dedup Benchmark Evaluation
- Workflow:Roboflow Rf detr ONNX Export
- Workflow:Mbzuai oryx Awesome LLM Post training Deep Paper Collection
- Workflow:MaterializeInc Materialize Upgrade Testing
- Workflow:Mlc ai Mlc llm Disaggregated Serving
- Workflow:Langgenius Dify RAG Pipeline Development
- Workflow:TobikoData Sqlmesh Model development and testing
- Workflow:FlagOpen FlagEmbedding Embedder Finetuning
Principles
- Principle:Trailofbits Fickling Pickle Scanner Benchmarking
- Principle:Duckdb Duckdb Release Artifact Upload
- Principle:Intel Ipex llm LLM Initialization LangChain
- Principle:Huggingface Optimum Export Configuration Construction
- Principle:Protectai Llm guard Output Scanner Factory Pattern
- Principle:Online ml River CluStream Clustering
- Principle:Dagster io Dagster Incremental Processing
- Principle:Iamhankai Forest of Thought Monte Carlo Tree Search
- Principle:Treeverse LakeFS Imported Data Verification
- Principle:Apache Flink Source Connector Framework
Implementations
- Implementation:Google deepmind Mujoco Engine Support
- Implementation:Vllm project Vllm Env Override
- Implementation:Huggingface Datatrove InferenceServer
- Implementation:Deepset ai Haystack DocumentMAPEvaluator
- Implementation:EvolvingLMMs Lab Lmms eval CVRR Utils
- Implementation:Helicone Helicone Prompt State Types
- Implementation:Datahub project Datahub ReadOnlyEntityException
- Implementation:Run llama Llama index LLM Utils
- Implementation:Neuml Txtai SQLite Database
- Implementation:DevExpress Testcafe Compiler GetTests
Heuristics
- Heuristic:Snorkel team Snorkel LabelModel Mu Eps Clamping
- Heuristic:MaterializeInc Materialize CI Agent Prioritization
- Heuristic:VainF Torch Pruning GQA Head Pruning Constraints
- Heuristic:Onnx Onnx Opset Version Selection
- Heuristic:Neuml Txtai MacOS Stability Workarounds
- Heuristic:Eric mitchell Direct preference optimization FSDP Mixed Precision BFloat16
- Heuristic:Fastai Fastbook Discriminative Learning Rates
- Heuristic:Wandb Weave Payload Size Limits
- Heuristic:Marker Inc Korea AutoRAG Data Format Requirements
- Heuristic:NVIDIA NeMo Aligner Higher Stability Log Probs
Environments
- Environment:Openai Openai python Azure OpenAI
- Environment:Mit han lab Llm awq CUDA Build Environment
- Environment:Webdriverio Webdriverio Browser Driver Environment
- Environment:Dotnet Machinelearning OneDal Acceleration
- Environment:Junyanz Pytorch CycleGAN and pix2pix DDP Multi GPU
- Environment:Dagster io Dagster DAGSTER HOME Configuration
- Environment:Duckdb Duckdb Code Generation Tools
- Environment:Hpcaitech ColossalAI CUDA GPU Environment
- Environment:Huggingface Optimum Python Core Dependencies
- Environment:Neuml Txtai Python Core Dependencies