flownet2-pytorch
by NVIDIA
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
AI summary
Optical flow estimator
A deep learning framework implementing an optical flow estimation model using PyTorch.
- stars
- 3.2K
- forks
- 741
- watching
- 56
- awesome lists
- 2
Similar projects
Found by comparing what the projects do, not just their names.
Flow estimator
PyTorch implementation of a neural network architecture for estimating the optical flow between frames in videos
GPU tensor library
A Python library providing tensors and dynamic neural networks with strong GPU acceleration
Speech Synthesis Toolkit
This PyTorch implementation provides a toolkit for speech synthesis using a deep neural network architecture.
Deep Learning Tutorials
A comprehensive tutorial project that provides code examples for learning PyTorch by implementing various deep learning models and demonstrating their usage.
DeepLab Plus Model
A PyTorch implementation of the DeepLab-V3-Plus model with support for multiple backbones and datasets
StyleGAN2
An implementation of StyleGAN 2 in PyTorch for image generation and analysis.
TensorFlow Tutorials
A collection of examples and tutorials illustrating various applications and use cases of TensorFlow in Python
Graph neural network library
A PyTorch-based library for training and applying Graph Neural Networks to structured data
Visual feature learner
A PyTorch implementation of a self-supervised learning method for learning robust visual features without supervision.
Training toolkit
Tools for streamlined mixed precision and distributed training in PyTorch
pytorch/examples22.5K
PyTorch examples
A collection of curated examples showcasing various PyTorch applications in computer vision, natural language processing, and reinforcement learning.
Image generator library
An official PyTorch implementation of the StyleGAN2-ADA algorithm for generating images with a focus on stability and performance.
Deep learning book adaptation
An open-source implementation of the popular book 'Dive Into Deep Learning' in PyTorch
Segmentation Model Library
A comprehensive library for training and applying deep learning models for image segmentation
SE-Nets
An implementation of Squeeze-and-Excitation Networks (SE-Nets) for deep learning image classification tasks
Featured in 2 awesome lists
Each link jumps to the spot where the list mentions flownet2-pytorch.
