There are 4 repositories under cupy topic.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
A simplified implemention of Faster R-CNN that replicate performance from origin paper
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
Library for faster pinned CPU <-> GPU transfer in Pytorch
a reimplementation of PWC-Net in PyTorch that matches the official Caffe version
an implementation of softmax splatting for differentiable forward warping using PyTorch
a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version
A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python :rocket:
Deep learning framework realized by Numpy purely, supports for both Dynamic Graph and Static Graph with GPU acceleration
Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)
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)
Computer vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA 11.8, TensorRT inference accelerator for Tensor cores, CuPy (GPU drop in replacement for Numpy), PyTorch, PyTorch geometric for Graph Neural Networks, TF2, Tensorboard, and OpenCV for accelerated workloads on NVIDIA Tensor cores and GPUs.
a reimplementation of UnFlow in PyTorch that matches the official TensorFlow version
Minimal deep learning library written from scratch in Python, using NumPy/CuPy.
an example of a CUDA extension for PyTorch using CuPy which computes the Hadamard product of two tensors
an implementation of Revisiting Adaptive Convolutions for Video Frame Interpolation using PyTorch
Compatibility layer for common array libraries to support the Array API
NumPy实现类PyTorch的动态计算图和神经网络框架(MLP, CNN, RNN, Transformer)
Interface for using cupy in xarray, providing convenience accessors.
Quantum computational chemistry based on TensorCircuit
ONNX and TensorRT implementation of Whisper
This container is no longer supported, and has been deprecated in favor of: https://github.com/joehoeller/NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV