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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:Hpcaitech ColossalAI Model Evaluation
- Workflow:Langchain ai Langchain Release Process
- Workflow:Getgauge Taiko Gauge Integration Testing
- Workflow:Datahub project Datahub Metadata Actions Pipeline
- Workflow:Scikit learn Scikit learn Supervised Classification
- Workflow:Googleapis Python genai Image Generation Pipeline
- Workflow:Datahub project Datahub Spark Lineage Capture
- Workflow:Scikit learn contrib Imbalanced learn Imbalanced Model Evaluation
- Workflow:Openai Evals Running an eval set
- Workflow:Tensorflow Serving Model Version Management
Principles
- Principle:Scikit learn Scikit learn Metric Visualization
- Principle:Hiyouga LLaMA Factory Model Quantization
- Principle:OpenHands OpenHands Business Route Mounting
- Principle:Bigscience workshop Petals Inference Session Management
- Principle:Risingwavelabs Risingwave CDC Change Data Capture
- Principle:Huggingface Datatrove CSV Data Reading
- Principle:Huggingface Optimum Preprocessor Persistence
- Principle:ClickHouse ClickHouse Poco JSON Templating
- Principle:TobikoData Sqlmesh Development Environment Creation
- Principle:Lance format Lance Compaction Planning
Implementations
- Implementation:Openai Openai node Completions RunTools
- Implementation:Online ml River NaiveBayes ComplementNB
- Implementation:NVIDIA NeMo Aligner Process Anthropic HH Chat Prompt
- Implementation:TobikoData Sqlmesh CICD Gen Prod Plan
- Implementation:FMInference FlexLLMGen Transformers Setup
- Implementation:Openclaw Openclaw ChannelsStatusCommand
- Implementation:Online ml River Tree Splitter NominalReg
- Implementation:Open compass VLMEvalKit VGRPBench Kakuro
- Implementation:Haosulab ManiSkill DrawTriangle
- Implementation:Datajuicer Data juicer ImageShapeFilter
Heuristics
- Heuristic:CarperAI Trlx KL Coefficient Adaptation
- Heuristic:Langfuse Langfuse LLM Rate Limit 24h Abandon
- Heuristic:Openai CLIP JIT Vs Non JIT Loading
- Heuristic:Speechbrain Speechbrain Separation Loss Filtering
- Heuristic:Marker Inc Korea AutoRAG Data Format Requirements
- Heuristic:Fede1024 Rust rdkafka Manual Offset Store Pattern
- Heuristic:CARLA simulator Carla Sensor Queue Synchronization Pattern
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Identity Loss Color Preservation
- Heuristic:Ollama Ollama Download Retry Strategy
- Heuristic:Fastai Fastbook Mixup Data Augmentation
Environments
- Environment:OpenBMB UltraFeedback OpenAI API Environment
- Environment:Langgenius Dify Node Frontend Environment
- Environment:Tensorflow Serving GPU CUDA Environment
- Environment:LMCache LMCache VLLM Serving Engine
- Environment:ChenghaoMou Text dedup Suffix Array External Tools
- Environment:Microsoft Semantic kernel ONNX CUDA Environment
- Environment:Kserve Kserve Leader Worker Set
- Environment:NVIDIA TransformerEngine CUDA Toolkit Requirements
- Environment:Intel Ipex llm NPU Cpp Environment
- Environment:Hpcaitech ColossalAI ColossalQA RAG Environment