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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:Alibaba MNN Model Compression
- Workflow:Apache Hudi Flink Batch Incremental Read
- Workflow:Googleapis Python genai Multimodal Content Generation
- Workflow:Deepset ai Haystack Document Indexing Pipeline
- Workflow:Trailofbits Fickling Pickle Safety Analysis
- Workflow:Langchain ai Langgraph Functional API Workflow
- Workflow:TA Lib Ta lib python Candlestick Pattern Recognition
- Workflow:Facebookresearch Habitat lab HITL Interactive Evaluation
- Workflow:DataTalksClub Data engineering zoomcamp dbt Analytics Transformation
- Workflow:Huggingface Peft Prompt Tuning Classification
Principles
- Principle:Langchain ai Langgraph Store Access In Nodes
- Principle:Huggingface Optimum Transformation Composition
- Principle:DevExpress Testcafe Runner Fluent Configuration
- Principle:Dotnet Machinelearning SSA Forecasting Configuration
- Principle:Scikit learn Scikit learn Pipeline Chaining
- Principle:Sdv dev SDV Column Distribution Visualization
- Principle:Alibaba ROLL MCoreAdapter Training Configuration
- Principle:Spotify Luigi Web Visualiser Monitoring
- Principle:Microsoft Agent framework Executor Definition
- Principle:Hpcaitech ColossalAI Optimizer Scheduler Setup
Implementations
- Implementation:Shiyu coder Kronos QlibDataset Usage
- Implementation:Microsoft Onnxruntime CUDA FakeQuant
- Implementation:Pyro ppl Pyro NewtonStep
- Implementation:Mlc ai Mlc llm Event Trace Recorder
- Implementation:Speechbrain Speechbrain Train Switchboard Transformer
- Implementation:Lm sys FastChat Build Side By Side Vision Anony UI
- Implementation:Apache Shardingsphere EtcdDistributedLock Lock
- Implementation:Run llama Llama index PydanticOutputParser
- Implementation:CARLA simulator Carla Road
- Implementation:Haotian liu LLaVA Process Images
Heuristics
- Heuristic:Alibaba MNN Weight Quantization Strategy
- Heuristic:Microsoft BIPIA Delta Weight CPU Loading
- Heuristic:Onnx Onnx Big Endian Byte Order Handling
- Heuristic:Ollama Ollama Quantization Layer Selection
- Heuristic:Huggingface Trl Gradient Checkpointing Use Reentrant
- Heuristic:Obss Sahi Overlap Ratio Selection
- Heuristic:Datajuicer Data juicer Partition Size Tuning
- Heuristic:LaurentMazare Tch rs MPS Weight Loading Workaround
- Heuristic:Fede1024 Rust rdkafka Regular Polling Required
- Heuristic:Microsoft Onnxruntime Flash Attention Optimization
Environments
- Environment:Intel Ipex llm Build Environment
- Environment:Cypress io Cypress Linux Display Server
- Environment:Microsoft BIPIA DeepSpeed Finetuning Environment
- Environment:Treeverse LakeFS S3 Gateway Test Environment
- Environment:Zai org CogVideo Diffusers Inference Environment
- Environment:Vllm project Vllm Intel XPU
- Environment:Ucbepic Docetl LLM API Keys
- Environment:Alibaba MNN GPU OpenCL Environment
- Environment:Diagram of thought Diagram of thought LLM API
- Environment:Axolotl ai cloud Axolotl CUDA GPU