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A curated reading list of research in Mixture-of-Experts(MoE).
PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译,支持 Google/DeepL/Ollama/OpenAI 等服务,提供 CLI/GUI/Docker/Zotero
Papers and code of Explainable AI esp. w.r.t. Image classificiation
official implementation of ECCV'24 paper "LPViT: Low-Power Semi-structured Pruning for Vision Transformers"
[ICLR 2024] The Need for Speed: Pruning Transformers with One Recipe
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Official repository for CVPR2023 publication, GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection
Official code for paper "OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning"
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
Implementation of the work "ShareBERT: Embeddings Are Capable of Learning Hidden Layers".
PyCIL: A Python Toolbox for Class-Incremental Learning
EMNLP 2023 Papers: Explore cutting-edge research from EMNLP 2023, the premier conference for advancing empirical methods in natural language processing. Stay updated on the latest in machine learni…
CVNets: A library for training computer vision networks
Reading list for research topics in multimodal machine learning
🎰 A curated list of machine learning resources, preferably CoreML
A list of Medical imaging datasets.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…