A flexible framework of neural networks for deep learning
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Updated
Aug 17, 2020 - Python
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A flexible framework of neural networks for deep learning
A simplified implemention of Faster R-CNN that replicate performance from origin paper
Deep learning operations reinvented (for pytorch, tensorflow, chainer, gluon and others)
ChainerCV: a Library for Deep Learning in Computer Vision
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
a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version
an implementation of softmax splatting for differentiable forward warping using PyTorch
A Simple & Flexible Cross Framework Operators Toolkit
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)
A suite of benchmarks to test the sequential CPU and GPU performance of most popular high-performance libraries for Python.
A 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.
A Python wrapper of NVIDIA Video Loader (NVVL) with CuPy for fast video loading with Python
an example of a CUDA extension for PyTorch using CuPy which computes the Hadamard product of two tensors
a reimplementation of UnFlow in PyTorch that matches the official TensorFlow version
Official source code for our paper "AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation" (CVPR 2020)
This container is no longer supported, and has been deprecated in favor of: https://github.com/joehoeller/NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV
ROIPooling for pytorch
The code for multi-channel speech enhancement and source separation such as MNMF, MNMF_DP, ILRMA, ILRMA_DP, FastMNMF, FastMNMF_DP, FCA, FastFCA
Chainer implementation of PointNet, PointNet++, KD-Network and 3DContextNework
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https://github.com/fixstars/clpy/blob/a60ed24f67c9e76dab88ce73eff67e5092469719/clpy/backend/__init__.py#L37-L50