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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:VainF Torch Pruning Object Detection Pruning
- Workflow:DataTalksClub Data engineering zoomcamp Docker PostgreSQL Data Ingestion
- Workflow:Fede1024 Rust rdkafka Mock Cluster Testing
- Workflow:Cohere ai Cohere python Chat Completion
- Workflow:Mistralai Client python OCR Document Processing
- Workflow:Fastai Fastbook Image Classification
- Workflow:Huggingface Trl GRPO Training
- Workflow:Interpretml Interpret EBM Training And Prediction
- Workflow:InternLM Lmdeploy VLM Inference Pipeline
- Workflow:Mlfoundations Open flamingo Model Creation And Inference
Principles
- Principle:Mistralai Client python Finetuning Job Control
- Principle:Googleapis Python genai Client Initialization
- Principle:Huggingface Optimum CLI Command Framework
- Principle:Apache Dolphinscheduler Failover Process Initiation
- Principle:Fede1024 Rust rdkafka Topic Subscription And Consumption
- Principle:Marker Inc Korea AutoRAG Trial Summary And Dashboard
- Principle:Togethercomputer Together python File Upload For Batch
- Principle:Lance format Lance Vector Index Configuration
- Principle:Facebookresearch Habitat lab Agent Implementation
- Principle:Eric mitchell Direct preference optimization Batch Data Pipeline
Implementations
- Implementation:Ggml org Llama cpp Ggml Backend Load All
- Implementation:Mage ai Mage ai Chargebee Common Quotes Schema
- Implementation:Open compass VLMEvalKit Infer Data API
- Implementation:Apache Paimon DeltaVarintCompressor
- Implementation:Vibrantlabsai Ragas Iterate Prompt Evals
- Implementation:Ggml org Llama cpp Jinja Utils
- Implementation:Tensorflow Serving Fast Read Dynamic Ptr
- Implementation:ArroyoSystems Arroyo Pyarrow Conversion
- Implementation:Tensorflow Serving server request logger h
- Implementation:Online ml River Anomaly Score One
Heuristics
- Heuristic:ArroyoSystems Arroyo Stateful Operator TTL
- Heuristic:Onnx Onnx Big Endian Byte Order Handling
- Heuristic:ChenghaoMou Text dedup Fingerprint Batch Size One
- Heuristic:Snorkel team Snorkel Precision Init Prior
- Heuristic:Kubeflow Pipelines Resource Sizing For Components
- Heuristic:Danijar Dreamerv3 Symlog TwoHot Prediction
- Heuristic:Bentoml BentoML Warning Deprecated Server Module
- Heuristic:Kserve Kserve Server Side Apply For CRDs
- Heuristic:PrefectHQ Prefect HTTP Connection Pool Tuning
- Heuristic:MaterializeInc Materialize CI Retry Strategies
Environments
- Environment:Dotnet Machinelearning Native Build Toolchain
- Environment:Alibaba MNN GPU OpenCL Environment
- Environment:Unstructured IO Unstructured Profiling Tools
- Environment:Deepspeedai DeepSpeed Python Runtime Environment
- Environment:Apache Beam Dataflow Streaming Runtime
- Environment:OWASP Www project top 10 for large language model applications Pydantic Invoice Agent Runtime
- Environment:Openai Openai agents python Voice Dependencies
- Environment:Deepset ai Haystack GPU Device Environment
- Environment:CarperAI Trlx DeepSpeed Multi GPU
- Environment:Marker Inc Korea AutoRAG GPU PyTorch Environment