Pinned Repositories
100-Days-of-ML-Code-Chinese-Version
Chinese Translation for Machine Learning Infographics
deeplearning.ai
deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
fork-from-MERTools
Toolkits for Multimodal Emotion Recognition
hands-on-ml-zh
:book: [译] Sklearn 与 TensorFlow 机器学习实用指南
Joint-Cross-Attention-for-Audio-Visual-Fusion
IEEE T-BIOM : "Audio-Visual Fusion for Emotion Recognition in the Valence-Arousal Space Using Joint Cross-Attention"
mcnCrossModalEmotions
Supporting code for "Emotion Recognition in Speech using Cross-Modal Transfer in the Wild"
newspaper
News, full-text, and article metadata extraction in Python 3. Advanced docs:
pachong
pachong
trash_classification_pytorch
Trash Classification Algorithm Based On Pytorch
russell-li's Repositories
russell-li/trash_classification_pytorch
Trash Classification Algorithm Based On Pytorch
russell-li/100-Days-of-ML-Code-Chinese-Version
Chinese Translation for Machine Learning Infographics
russell-li/deeplearning.ai
deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.
russell-li/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
russell-li/fork-from-MERTools
Toolkits for Multimodal Emotion Recognition
russell-li/hands-on-ml-zh
:book: [译] Sklearn 与 TensorFlow 机器学习实用指南
russell-li/Joint-Cross-Attention-for-Audio-Visual-Fusion
IEEE T-BIOM : "Audio-Visual Fusion for Emotion Recognition in the Valence-Arousal Space Using Joint Cross-Attention"
russell-li/mcnCrossModalEmotions
Supporting code for "Emotion Recognition in Speech using Cross-Modal Transfer in the Wild"
russell-li/newspaper
News, full-text, and article metadata extraction in Python 3. Advanced docs:
russell-li/pachong
pachong
russell-li/Qv2ray
:star: Linux / Windows / macOS 跨平台 V2Ray 客户端 | 支持 VMess / VLESS / SSR / Trojan / Trojan-Go / NaiveProxy / HTTP / HTTPS / SOCKS5 | 使用 C++ / Qt 开发 | 可拓展插件式设计 :star: