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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:Apache Beam Portable Pipeline Submission
- Workflow:HKUDS AI Trader End to End US Stock Trading
- Workflow:Mlfoundations Open flamingo Data Preparation
- Workflow:Langchain ai Langgraph ReAct Agent Creation
- Workflow:ArroyoSystems Arroyo UDF Development
- Workflow:OpenRLHF OpenRLHF Math Reasoning Training
- Workflow:Intel Ipex llm Pipeline Parallel Inference
- Workflow:Risingwavelabs Risingwave Iceberg Lakehouse Ingestion
- Workflow:Teamcapybara Capybara Form Testing
- Workflow:Heibaiying BigData Notes Flink Kafka Streaming Pipeline
Principles
- Principle:Huggingface Peft Prefix Tuning
- Principle:Princeton nlp Tree of thought llm Result Validation
- Principle:ClickHouse ClickHouse SIMD String Hashing
- Principle:Puppeteer Puppeteer Platform Detection
- Principle:SeleniumHQ Selenium Page Object Interaction Methods
- Principle:LLMBook zh LLMBook zh github io Checkpoint Saving
- Principle:Princeton nlp SimPO Preference Optimization
- Principle:Turboderp org Exllamav2 Job Based Generation
- Principle:Intel Ipex llm Data Preparation For Finetuning
- Principle:Mistralai Client python GCP Client Initialization
Implementations
- Implementation:Pytorch Serve ASR Emformer Handler
- Implementation:Ucbepic Docetl Website PackageLock
- Implementation:Mlc ai Mlc llm Top P Pivot
- Implementation:Rapidsai Cuml KNN Sparse
- Implementation:Facebookresearch Habitat lab HRLPPO update
- Implementation:DistrictDataLabs Yellowbrick JointPlot Visualizer
- Implementation:Confident ai Deepeval DocumentChunker
- Implementation:Lance format Lance Java ScanOptions
- Implementation:Apache Hudi HoodieFlinkStreamer Main
- Implementation:Treeverse LakeFS Commit With Hooks
Heuristics
- Heuristic:Openai CLIP Class Name Curation
- Heuristic:Microsoft DeepSpeedExamples Gradient Checkpointing Tradeoff
- Heuristic:Shiyu coder Kronos Instance Normalization Clipping
- Heuristic:Liu00222 Open Prompt Injection BPE Retokenization Parameters
- Heuristic:Mlflow Mlflow Model Signature Inference Tips
- Heuristic:Ray project Ray Serve Concurrency And Backpressure
- Heuristic:Dotnet Machinelearning Text File Sampling Strategy
- Heuristic:Unslothai Unsloth GGUF Quantization Selection
- Heuristic:Openai Openai node Browser Safety Guard
- Heuristic:ContextualAI HALOs Humanline Clamping
Environments
- Environment:Kubeflow Kubeflow Istio Certmanager Dex Environment
- Environment:Microsoft Autogen Python Runtime Environment
- Environment:Nightwatchjs Nightwatch BrowserStack Cloud
- Environment:Farama Foundation Gymnasium JAX Functional Backend
- Environment:Protectai Llm guard Python Runtime Dependencies
- Environment:Dotnet Machinelearning Platform Architecture Support
- Environment:Hpcaitech ColossalAI ColossalChat Training Environment
- Environment:LLMBook zh LLMBook zh github io HuggingFace Transformers Stack
- Environment:FlowiseAI Flowise Node Runtime Environment
- Environment:Bentoml BentoML NVIDIA GPU Resource