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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:Datahub project Datahub Java SDK V2 Entity Management
- Workflow:CarperAI Trlx PPO Sentiment Training
- Workflow:Nightwatchjs Nightwatch Custom Commands And Assertions
- Workflow:Ggml org Llama cpp Model Quantization
- Workflow:Apache Dolphinscheduler Datasource Plugin Development
- Workflow:Scikit learn contrib Imbalanced learn Ensemble Imbalanced Classification
- Workflow:Mage ai Mage ai SQL Database Source Extraction
- Workflow:Tencent Ncnn Object Detection Inference
- Workflow:Vllm project Vllm OpenAI Compatible Serving
- Workflow:ClickHouse ClickHouse Server Deployment
Principles
- Principle:Ucbepic Docetl Optimized Pipeline Review
- Principle:Wandb Weave Version Bump Release
- Principle:DataExpert io Data engineer handbook Kafka Source Table Definition
- Principle:Infiniflow Ragflow Document Parsing
- Principle:Facebookresearch Audiocraft Compression Model Export
- Principle:Ucbepic Docetl Pipeline Configuration
- Principle:Sdv dev SDV Multi Table Model Fitting
- Principle:Googleapis Python genai Tuning Job Launch
- Principle:Roboflow Rf detr ONNX Runtime Validation
- Principle:Tencent Ncnn Graph Optimization
Implementations
- Implementation:Microsoft Onnxruntime CPU Adasum
- Implementation:Lance format Lance Java MergeInsertParams
- Implementation:Deepspeedai DeepSpeed Evoformer Bias Broadcast
- Implementation:Recommenders team Recommenders NCF Predict
- Implementation:Allenai Open instruct Beaker Experiment Workflow
- Implementation:SeldonIO Seldon core Seldon Model CRD Explainer Deploy
- Implementation:Bentoml BentoML Bentos Build
- Implementation:Microsoft DeepSpeedExamples BingBert TuringSources
- Implementation:Langchain ai Langgraph SerializerProtocol
- Implementation:Triton inference server Server L0 Grpc Test
Heuristics
- Heuristic:Apache Airflow Variable Access Pattern
- Heuristic:DataExpert io Data engineer handbook Watermark Late Arrival Tolerance
- Heuristic:Fede1024 Rust rdkafka Queue Buffering Priority
- Heuristic:Neuml Txtai Batch Size And Sorting Tip
- Heuristic:Vibrantlabsai Ragas Temperature Sampling Strategy
- Heuristic:Scikit learn Scikit learn Feature Scaling Numerical Stability
- Heuristic:Roboflow Rf detr Small Dataset Oversampling
- Heuristic:Mlfoundations Open flamingo Loss Masking Strategy
- Heuristic:Deepset ai Haystack BM25 Score Scaling
- Heuristic:Duckdb Duckdb PR Submission Strategy
Environments
- Environment:Junyanz Pytorch CycleGAN and pix2pix Python PyTorch Runtime
- Environment:Risingwavelabs Risingwave Java Connector Environment
- Environment:Obss Sahi Python Detection Frameworks
- Environment:Heibaiying BigData Notes Spark 2 4 Environment
- Environment:Bitsandbytes foundation Bitsandbytes Build From Source Environment
- Environment:Ucbepic Docetl LLM API Keys
- Environment:PacktPublishing LLM Engineers Handbook AWS SageMaker GPU Environment
- Environment:Teamcapybara Capybara Ruby And Gem Dependencies
- Environment:Apache Kafka Release Toolchain Environment
- Environment:Obss Sahi Python Image Processing