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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 AutoML Experiment
- Workflow:Huggingface Optimum Accelerated Inference Pipeline
- Workflow:Pyro ppl Pyro Bayesian Regression
- Workflow:ARISE Initiative Robosuite Human Demonstration Collection
- Workflow:Apache Dolphinscheduler RPC Service Communication
- Workflow:Kubeflow Pipelines Iterative Model Training
- Workflow:Speechbrain Speechbrain Speech Enhancement Training
- Workflow:Hiyouga LLaMA Factory Full Parameter SFT
- Workflow:Risingwavelabs Risingwave Iceberg Lakehouse Ingestion
- Workflow:Ucbepic Docetl Pipeline Optimization
Principles
- Principle:Microsoft Semantic kernel Connector Embeddings Test Fixtures
- Principle:Confident ai Deepeval Component Instrumentation
- Principle:Lance format Lance Index Optimization
- Principle:VainF Torch Pruning Group Norm Regularization
- Principle:Heibaiying BigData Notes Spark DataFrame Transformations
- Principle:Tensorflow Serving Kubernetes Cluster Creation
- Principle:Pyro ppl Pyro Minimal PPL
- Principle:Lance format Lance Data Ingestion
- Principle:Kserve Kserve Graph Request Routing
- Principle:Tensorflow Tfjs Model Evaluation And Deployment
Implementations
- Implementation:ArroyoSystems Arroyo Server Common
- Implementation:Isaac sim IsaacGymEnvs AMPContinuous Train
- Implementation:Evidentlyai Evidently Row Test Summary
- Implementation:Microsoft Playwright Client Artifact
- Implementation:Tensorflow Serving Gzip Zlib Test
- Implementation:SeleniumHQ Selenium Closure Dom TagName
- Implementation:Onnx Onnx Load Model
- Implementation:Openai Openai python Response Reasoning Item Param
- Implementation:Langchain ai Langchain HuggingFaceEndpoint
- Implementation:Open compass VLMEvalKit BunnyLLama3
Heuristics
- Heuristic:OpenBMB UltraFeedback Score Parsing Robustness
- Heuristic:Google deepmind Dm control Warning Deprecated Legacy Base Walker
- Heuristic:Scikit learn Scikit learn Convergence Warning Handling
- Heuristic:LMCache LMCache Prefix Based Retrieval Pattern
- Heuristic:Zai org CogVideo Frame Count and Resolution Constraints
- Heuristic:Apache Spark Build Fallback Strategies
- Heuristic:Sail sg LongSpec NCCL Distributed Settings
- Heuristic:ChenghaoMou Text dedup Mersenne Prime Backward Compatibility
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Test Train Option Consistency
- Heuristic:Open compass VLMEvalKit API Retry With Random Delay
Environments
- Environment:Vllm project Vllm NVIDIA CUDA
- Environment:PacktPublishing LLM Engineers Handbook Docker MongoDB Qdrant Infrastructure
- Environment:Haifengl Smile Native BLAS LAPACK ARPACK
- Environment:Risingwavelabs Risingwave Rust Build Environment
- Environment:DataTalksClub Data engineering zoomcamp Docker PostgreSQL Python Environment
- Environment:Explodinggradients Ragas Python Runtime Environment
- Environment:Open compass VLMEvalKit Data Storage Environment
- Environment:ArroyoSystems Arroyo Object Storage
- Environment:Sgl project Sglang Triton
- Environment:TobikoData Sqlmesh Python Runtime