EinopsDeep learning operations reinvented (for pytorch, tensorflow, jax and others)
Softmax Splattingan implementation of softmax splatting for differentiable forward warping using PyTorch
MobulaopA Simple & Flexible Cross Framework Operators Toolkit
SpanetSpatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)
Pyhpc BenchmarksA suite of benchmarks to test the sequential CPU and GPU performance of most popular high-performance libraries for Python.
Pytorch Unflow a reimplementation of UnFlow in PyTorch that matches the official TensorFlow version
Adacof PytorchOfficial source code for our paper "AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation" (CVPR 2020)
Nvidia Gpu Tensor Core Accelerator Pytorch OpencvA complete machine vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA-X, TensorRT inference accelerator for Tensor cores, CuPy (GPU drop in replacement for Numpy), PyTorch, TF2, Tensorboard, and OpenCV for accelerated workloads on NVIDIA Tensor cores and GPUs.
ChainercvChainerCV: a Library for Deep Learning in Computer Vision
PynvvlA Python wrapper of NVIDIA Video Loader (NVVL) with CuPy for fast video loading with Python
3d Ken Burnsan implementation of 3D Ken Burns Effect from a Single Image using PyTorch
TensorlyTensorLy: Tensor Learning in Python.
Sepconv Slomoan implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch
ChainerA flexible framework of neural networks for deep learning
SpeedtorchLibrary for faster pinned CPU <-> GPU transfer in Pytorch
CupyNumPy & SciPy for GPU
Pytorch Pwc a reimplementation of PWC-Net in PyTorch that matches the official Caffe version
XshinnosukeDeep learning framework realized by Numpy purely, supports for both Dynamic Graph and Static Graph with GPU acceleration
Pytorch Liteflownet a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version
PyinnCuPy fused PyTorch neural networks ops
revisiting-sepconvan implementation of Revisiting Adaptive Convolutions for Video Frame Interpolation using PyTorch