amazon-science / video-contrastive-learning

Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)

#大语言模型#Chronos: Pretrained Models for Probabilistic Time Series Forecasting

Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)

#人脸识别#Python library for analysing faces using PyTorch

[TAFFC 2024] The official implementation of paper: From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos

[ICCV2023 Oral] Unmasked Teacher: Towards Training-Efficient Video Foundation Models

[ECCV2024] VideoMamba: State Space Model for Efficient Video Understanding

#Awesome#A curated list of audio-visual learning methods and datasets.

A deep learning library for video understanding research.

Source Code for FINCH Clustering Algorithm

[NeurIPS'20] Self-supervised Co-Training for Video Representation Learning. Tengda Han, Weidi Xie, Andrew Zisserman.

大模型Grok-1开源

[CVPR2023] Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning (https://arxiv.org/abs/2212.04500)

[ACL 2024] Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation

PyTorch implementation of the InfoNCE loss for self-supervised learning.

#计算机科学#[ECCV2022] Motion Sensitive Contrastive Learning for Self-supervised Video Representation