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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:Neuml Txtai RAG Pipeline
- Workflow:Groq Groq python Batch Processing
- Workflow:Sktime Pytorch forecasting TFT Hyperparameter Optimization
- Workflow:OpenRLHF OpenRLHF Reward Model Training
- Workflow:Marker Inc Korea AutoRAG Data Creation Pipeline
- Workflow:Explodinggradients Ragas Metric Prompt Optimization
- Workflow:Evidentlyai Evidently Data Drift Monitoring
- Workflow:Vespa engine Vespa Config subscription lifecycle
- Workflow:ClickHouse ClickHouse Building From Source
- Workflow:Microsoft Onnxruntime Nodejs Inference
Principles
- Principle:Online ml River Anomaly Scoring Interface
- Principle:SqueezeAILab ETS ILP Node Selection
- Principle:Webdriverio Webdriverio ElementChaining
- Principle:ClickHouse ClickHouse HTTP Authentication
- Principle:Googleapis Python genai Content Preparation
- Principle:Turboderp org Exllamav2 Device Management
- Principle:Open compass VLMEvalKit MCQ Evaluation
- Principle:ClickHouse ClickHouse Optimized Memcpy
- Principle:Eventual Inc Daft API Boundary Protection
- Principle:Avhz RustQuant Automatic Differentiation
Implementations
- Implementation:Explodinggradients Ragas DataTable To Pandas
- Implementation:Scikit learn Scikit learn Load Iris
- Implementation:Openai Openai node Realtime Client Events
- Implementation:Zai org CogVideo IFNet HDv3
- Implementation:Anthropics Anthropic sdk python Exceptions
- Implementation:Treeverse LakeFS Java SDK Model ActionRun
- Implementation:Protectai Modelscan Settings Configuration
- Implementation:Alibaba ROLL I18n Zh Hans Code
- Implementation:LaurentMazare Tch rs Resnet18 No Final Layer
- Implementation:Tensorflow Tfjs RandomHeight Layer
Heuristics
- Heuristic:Deepset ai Haystack Embedding Batch Size And Prefix
- Heuristic:Fastai Fastbook Mixup Data Augmentation
- Heuristic:Snorkel team Snorkel LabelModel Mu Eps Clamping
- Heuristic:Speechbrain Speechbrain Data Augmentation Defaults
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Image Size Multiple of Four
- Heuristic:Snorkel team Snorkel Minimum Three LFs
- Heuristic:FlagOpen FlagEmbedding Dynamic Batch Size Reduction
- Heuristic:DistrictDataLabs Yellowbrick Elbow Knee Detection Sensitivity
- Heuristic:OpenBMB UltraFeedback Score Parsing Robustness
- Heuristic:Astronomer Astronomer cosmos Memory Optimised Imports
Environments
- Environment:Huggingface Open r1 Slurm Cluster
- Environment:Kubeflow Pipelines Python SDK
- Environment:Apache Kafka Committer Tools Environment
- Environment:Marker Inc Korea AutoRAG Vector Database Backends
- Environment:Cleanlab Cleanlab Image Quality Dependencies
- Environment:Princeton nlp SimPO CUDA Training
- Environment:Norrrrrrr lyn WAInjectBench External Repos Dependencies
- Environment:Mlc ai Mlc llm WebGPU Browser Environment
- Environment:DevExpress Testcafe Firefox Marionette
- Environment:Helicone Helicone Wrangler CLI