A flexible framework of neural networks for deep learning
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
ChainerCV: a Library for Deep Learning in Computer Vision
TensorLy: Tensor Learning in Python.
an implementation of 3D Ken Burns Effect from a Single Image using PyTorch
an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch
a reimplementation of PWC-Net in PyTorch that matches the official Caffe version
a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version
an implementation of softmax splatting for differentiable forward warping using PyTorch
Library for faster pinned CPU <-> GPU transfer in Pytorch
Deep learning framework realized by Numpy purely, supports for both Dynamic Graph and Static Graph with GPU acceleration
The code for multi-channel source separation and dereverberation such as FastMNMF1, FastMNMF2, and AR-FastMNMF2.
Official source code for our paper "AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation" (CVPR 2020)
A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python 🚀
a reimplementation of UnFlow in PyTorch that matches the official TensorFlow version
A Simple & Flexible Cross Framework Operators Toolkit
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