🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Learn OpenCV : C++ and Python Examples

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

[ICLR2022] official implementation of UniFormer

The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

[CVPR 2020 Oral] PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition"

[TMM 2022] Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose Estimation

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders

Code for "Bodily expressed emotion understanding through integrating Laban movement analysis"

[CVPR 2023] Code for "Learning Emotion Representations from Verbal and Nonverbal Communication"

[IEEE FG2021] PyTorch code for paper titled "Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recogniti…

Code for the BEEU challenge winning paper.

Convolutional neural network model for video classification trained on the Kinetics dataset.

A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

Using two stream architecture to implement a classic action recognition method on UCF101 dataset

This repository contains the code for the paper `End-to-End Multimodal Emotion Recognition using Deep Neural Networks`.

The aim of this work is to recognize the six emotions (happiness, sadness, disgust, surprise, fear and anger) based on human facial expressions extracted from videos. To achieve this, we are consid…

Gluon CV Toolkit

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!