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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:SeleniumHQ Selenium Page Object Pattern Testing
- Workflow:Apache Shardingsphere Metadata DDL Refresh
- Workflow:SeldonIO Seldon core Inference Pipeline
- Workflow:Huggingface Open r1 Dataset Pass Rate Filtering
- Workflow:Apache Kafka Topic Management
- Workflow:Huggingface Diffusers Video Generation
- Workflow:DataTalksClub Data engineering zoomcamp Docker PostgreSQL Data Ingestion
- Workflow:BerriAI Litellm SDK Completion
- Workflow:Unslothai Unsloth QLoRA SFT Finetuning
- Workflow:Deepseek ai Janus Rectified Flow Image Generation
Principles
- Principle:Mit han lab Llm awq LLaVA Multimodal Architecture
- Principle:Duckdb Duckdb Performance Regression Detection
- Principle:Trailofbits Fickling PyTorch Format Identification
- Principle:OpenGVLab InternVL Model Inference Loading
- Principle:Tencent Ncnn Inference Benchmarking
- Principle:Hiyouga LLaMA Factory Kahneman Tversky Optimization
- Principle:Ggml org Llama cpp Conversion Verification
- Principle:Apache Kafka Cherry Pick Backport
- Principle:Apache Kafka GPG Prerequisite Verification
- Principle:Junyanz Pytorch CycleGAN and pix2pix Dataset Acquisition
Implementations
- Implementation:Ggml org Ggml Hexagon softmax ops
- Implementation:Langgenius Dify Debug Configuration Context
- Implementation:ArroyoSystems Arroyo Checkpoints Component
- Implementation:Langfuse Langfuse Dataset Run Items Repository
- Implementation:Mlflow Mlflow Generate REST API Docs
- Implementation:MarketSquare Robotframework browser New Browser New Context New Page
- Implementation:Apache Beam ImmutabilityEnforcementFactory
- Implementation:Junyanz Pytorch CycleGAN and pix2pix TrainOptions Parse
- Implementation:Datajuicer Data juicer TextTaggingByPromptMapper
- Implementation:Avhz RustQuant Currency
Heuristics
- Heuristic:Truera Trulens Feedback Score Thresholds
- Heuristic:SeldonIO Seldon core Model Scheduling Preference Tip
- Heuristic:Shiyu coder Kronos Instance Normalization Clipping
- Heuristic:Huggingface Peft RSLoRA Scaling
- Heuristic:TobikoData Sqlmesh Execution Time Caching
- Heuristic:CarperAI Trlx KL Coefficient Adaptation
- Heuristic:Microsoft Playwright Test Stability Practices
- Heuristic:PrefectHQ Prefect Task Timeout Thread Limitation
- Heuristic:Recommenders team Recommenders TensorFlow Session Ordering
- Heuristic:OpenHands OpenHands Fail Open Rate Limiting
Environments
- Environment:Snorkel team Snorkel PyTorch
- Environment:Google deepmind Dm control GLFW Desktop Rendering
- Environment:Googleapis Python genai Gemini API Key Authentication
- Environment:OWASP Www project top 10 for large language model applications GenAI Red Team Environment
- Environment:Intel Ipex llm NPU Cpp Environment
- Environment:Alibaba MNN GPU OpenCL Environment
- Environment:SeldonIO Seldon core Docker Compose Local Environment
- Environment:Mlfoundations Open flamingo Evaluation Dependencies
- Environment:PacktPublishing LLM Engineers Handbook Python 3 11 Poetry Environment
- Environment:Promptfoo Promptfoo Provider API Keys