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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:Dotnet Machinelearning Text Classification
- Workflow:Danijar Dreamerv3 Train And Evaluate
- Workflow:Zai org CogVideo Diffusers Text to Video Inference
- Workflow:Cypress io Cypress E2E Test Execution
- Workflow:Getgauge Taiko Gauge Integration Testing
- Workflow:Apache Hudi Flink Schema Evolution
- Workflow:Vibrantlabsai Ragas Experiment Driven Development
- Workflow:OpenHands OpenHands Third Party Runtime Integration
- Workflow:Obss Sahi COCO Dataset Slicing
- Workflow:Webdriverio Webdriverio WDIO Testrunner Setup
Principles
- Principle:LMCache LMCache Engine Lifecycle Management
- Principle:Groq Groq python Speech Request Configuration
- Principle:Ggml org Llama cpp User Input Handling
- Principle:Confident ai Deepeval OpenAI Agents Instrumentation
- Principle:Mlc ai Web llm Function Calling Model Selection
- Principle:CARLA simulator Carla Walker AI Control
- Principle:Apache Shardingsphere Change Handler Dispatch
- Principle:Mlflow Mlflow Artifact and Model Logging
- Principle:Recommenders team Recommenders News Recommendation Evaluation
- Principle:SeldonIO Seldon core Usage Metrics Publishing
Implementations
- Implementation:Ggml org Llama cpp Download
- Implementation:Apache Paimon TimeUtils
- Implementation:Online ml River ModelSelection Greedy
- Implementation:ArroyoSystems Arroyo Home Page
- Implementation:Tensorflow Serving Gzip Zlib
- Implementation:Nightwatchjs Nightwatch Cucumber Runner Config
- Implementation:SeldonIO Seldon core Seldon Model Load For Pipeline
- Implementation:LMCache LMCache Base Transfer Channel
- Implementation:Huggingface Transformers Context Parallel Training Loop
- Implementation:Ggml org Ggml Hexagon backend
Heuristics
- Heuristic:Triton inference server Server Concurrency Throughput Rule
- Heuristic:Haifengl Smile Platform Native Library Selection
- Heuristic:CarperAI Trlx Batch Size Tuning
- Heuristic:ARISE Initiative Robomimic Rollout Horizon Selection
- Heuristic:Facebookresearch Habitat lab VER Tuning Guidelines
- Heuristic:NVIDIA TransformerEngine Attention Backend Selection
- Heuristic:Pytorch Serve Ampere Tensor Core Optimization
- Heuristic:Predibase Lorax Quantization Backend Selection
- Heuristic:Truera Trulens Trace Compression Token Limits
- Heuristic:Huggingface Optimum Version Conditional Behavior
Environments
- Environment:PacktPublishing LLM Engineers Handbook API Credentials
- Environment:Openai Openai node Node 20 Runtime
- Environment:Mlc ai Mlc llm Metal macOS iOS Environment
- Environment:Sgl project Sglang GitHub Actions
- Environment:PacktPublishing LLM Engineers Handbook Unsloth Finetuning Environment
- Environment:Facebookresearch Audiocraft Python PyTorch CUDA Environment
- Environment:Predibase Lorax CUDA GPU Runtime
- Environment:Interpretml Interpret Blackbox Explainer Dependencies
- Environment:DataTalksClub Data engineering zoomcamp Dbt DuckDB Environment
- Environment:Tensorflow Tfjs Python Converter