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A PyTorch library for training and deploying efficient computer vision models using ViT-based architectures.
Tutorials on implementing image classification architectures using PyTorch and TorchVision.
A PyTorch implementation of a neural radiance field model for talking head synthesis driven by audio.
A library for explaining the decisions made by Vision Transformers, a type of AI model used for computer vision tasks.
A comprehensive benchmark for spatio-temporal predictive learning, with a focus on AI-powered weather forecasting and video prediction.
A deep learning-based library for efficient lane detection, using self-attention distillation.
Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation.
A PyTorch implementation of the TernausNet model for image segmentation, pre-trained on the Kaggle Carvana dataset.
A PyTorch implementation of Prototypical Networks for Few-Shot Learning, a powerful technique for training AI models on small datasets.
A Python toolbox for class-incremental learning, a machine learning technique for training models on a continuous stream of data.
A comprehensive library for few-shot learning in Python with PyTorch, featuring state-of-the-art algorithms.
A PyTorch-based solution for various text classification models, including FastText, LSTM, TextCNN, and more.
Official PyTorch implementation of the MultiDiffusion model for controlled image generation, presented at ICML 2023.
PyTorch implementation of a lossless image compression technique using super-resolution.
VMZ is a PyTorch-based model zoo for video modeling tasks, with a focus on building AI-powered video applications.
Real-time human pose estimation accelerated with NVIDIA TensorRT for efficient deployment on Jetson devices.
Open-source optical flow toolbox and benchmark for computer vision tasks powered by PyTorch.
A PyTorch implementation of BigGAN with pretrained weights and conversion scripts for generative AI models.
A unified ensemble framework for PyTorch to improve model performance and robustness.
A fast and differentiable model predictive control (MPC) solver for PyTorch.
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