113 Open source projects that are alternatives of or similar to Chainercv

A flexible framework of neural networks for deep learning

[This project has moved to ChainerCV] Chainer Implementation of Fully Convolutional Instance-aware Semantic Segmentation

Chainer implementation of waifu2x

Chainer implementation of Dense Fusion

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

Simple, Online, Realtime Tracking of Multiple Objects (SORT) implementation for Chainer and ChainerCV.

a reimplementation of PWC-Net in PyTorch that matches the official Caffe version

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PSPNet in Chainer

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SegNet implementation & experiments in Chainer

DeepPose implementation in Chainer

Super Resolution of picture images using deep learning

ChainerRL is a deep reinforcement learning library built on top of Chainer.

Object Detection with Faster R-CNN in Chainer

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A fast implementation of Neural Image Caption by Chainer

Setup and customize deep learning environment in seconds.

VoxelNet implementation in Chainer

an implementation of Revisiting Adaptive Convolutions for Video Frame Interpolation using PyTorch

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書籍「今すぐ試したい！機械学習・深層学習（ディープラーニング）画像認識プログラミングレシピ」のソースコードを配布するレポジトリです。

NumPy & SciPy for GPU

WaveNet implementation with chainer

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

TensorLy: Tensor Learning in Python.

End-to-End Speech Processing Toolkit

Chainer implementation of Wasserstein GAN

Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)

ResNet benchmark by Keras(TensorFlow), Keras(MXNet), Chainer, PyTorch using Google Colab

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

A Chainer implementation of VQ-VAE.

Deep learning framework realized by Numpy purely, supports for both Dynamic Graph and Static Graph with GPU acceleration

an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch

a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version

Code for the paper "KISS: Keeping it Simple for Scene Text Recognition"

CuPy fused PyTorch neural networks ops

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Inverse Reinforcement Learning Argorithms

Implementation of SSD (Single Shot MultiBox Detector) using Chainer

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

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CAUTION: This is not maintained anymore. Visit https://github.com/chainer-community/chainer-colab-notebook/

Chainer implementation of deep-INFOMAX

Densely Connected Convolutional Network implementation by Chainer

A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)

A best practice for deep learning project template architecture.

No description or website provided.

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

Library for faster pinned CPU <-> GPU transfer in Pytorch

Code for Adversarial Training Methods for Semi-Supervised Text Classification

This is the implementation of the "Comicolorization: Semi-automatic Manga Colorization"