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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 |
Explore Pages
Workflows
- Workflow:Testtimescaling Testtimescaling github io Automated Citation Tracking
- Workflow:Shiyu coder Kronos CSV Finetuning
- Workflow:Mage ai Mage ai SQL Database Source Extraction
- Workflow:Kubeflow Pipelines Pipeline Control Flow
- Workflow:Apache Druid Visual Data Exploration
- Workflow:Apache Spark Building and Testing
- Workflow:Evidentlyai Evidently Monitoring Dashboard Setup
- Workflow:Groq Groq python Audio Transcription
- Workflow:Speechbrain Speechbrain Text to Speech Training
- Workflow:Speechbrain Speechbrain CTC ASR Training
Principles
- Principle:Openclaw Openclaw Session Resolution
- Principle:Microsoft Onnxruntime Distributed Training Configuration
- Principle:Huggingface Datatrove JSONL Data Reading
- Principle:Huggingface Diffusers Weight Mapping
- Principle:Allenai Open instruct DPO Training
- Principle:Cypress io Cypress Component Test Authoring
- Principle:Kubeflow Pipelines Recursive Sub Pipelines
- Principle:Vespa engine Vespa Cloud Deployment Context
- Principle:Interpretml Interpret Debug And Logging
- Principle:Apache Shardingsphere Configuration Parameter Construction
Implementations
- Implementation:Microsoft Autogen Agbench Linter CLI
- Implementation:Explodinggradients Ragas OpikTracer Class
- Implementation:Huggingface Diffusers Enable Model Cpu Offload
- Implementation:Microsoft Semantic kernel VectorStore Attributes
- Implementation:Tencent Ncnn Mat Pixel Resize
- Implementation:Lance format Lance EncodingFormat
- Implementation:Danijar Dreamerv3 Agent Init
- Implementation:Huggingface Diffusers Prior Image Generation
- Implementation:Shiyu coder Kronos KronosTokenizer From Pretrained
- Implementation:Ucbepic Docetl Register Eval
Heuristics
- Heuristic:Openclaw Openclaw Warning Suppression For Known Deprecations
- Heuristic:Spcl Graph of thoughts Budget Gated Benchmark Execution
- Heuristic:Scikit learn contrib Imbalanced learn KNeighbors Selection Tips
- Heuristic:Microsoft Onnxruntime Convergence Debugging Tips
- Heuristic:ContextualAI HALOs Humanline Clamping
- Heuristic:Sail sg LongSpec NCCL Distributed Settings
- Heuristic:Huggingface Alignment handbook Liger Kernel Memory
- Heuristic:Openai Openai agents python GPT 5 Reasoning Settings
- Heuristic:Recommenders team Recommenders TensorFlow Session Ordering
- Heuristic:Volcengine Verl FSDP Mixed Precision Init
Environments
- Environment:Neuml Txtai GPU Accelerator Environment
- Environment:Vllm project Vllm Benchmarks
- Environment:ThreeSR Awesome Inference Time Scaling Git CLI Environment
- Environment:Fede1024 Rust rdkafka Kafka Broker Runtime
- Environment:Huggingface Datatrove Processing Dependencies
- Environment:Apache Dolphinscheduler Database Backend
- Environment:Eric mitchell Direct preference optimization Python Dependencies
- Environment:Marker Inc Korea AutoRAG Japanese NLP Dependencies
- Environment:Deepset ai Haystack HuggingFace Model Environment
- Environment:Huggingface Open r1 CUDA Environment