536 Open source projects that are alternatives of or similar to Resnet Cifar10 Caffe

Data-parallel image stylization using Caffe.

An online GUI tool used to visualize prototxt and generate prototxt for caffe(current version).

A PyTorch implementation of shake-shake

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

I3D and 3D-ResNets in PyTorch

High level network definitions with pre-trained weights in TensorFlow

YOLO V2 & V3 , YOLO Combined with RCNN and MaskRCNN

pytorch implement of Lookahead Optimizer

Deep-learning seismic facies on state-of-the-art CNN architectures

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📹 一个短视频APP视频内容安全审核的思路调研及实现汇总

convert model from mxnet to caffe without lossing precision

PyTorch implementations of recent Computer Vision tricks

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

A Computation Graph Virtual Machine Based Deep Learning Framework

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Active Convolution

Classification models trained on ImageNet. Keras.

CAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.

collection of utilities to use with deep learning libraries (e.g. caffe)

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Theano implementation of XNOR-Net

MobileNet-v2 experimental network description for caffe

Image Classification on CIFAR-10 Dataset using Multi Layer Perceptrons in Python from Scratch.

R-DFPN: Rotation Dense Feature Pyramid Networks (Tensorflow)

VGG 19 Layers Deep Network

Residual networks implementation using Keras-1.0 functional API

Kaggle dogs vs cats solution in Caffe

🏭 Collaboratively build, visualize, and design neural nets in browser

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

Cifar-10 CNN implementation using TensorFlow library with 20% error.

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

SeqFace : Making full use of sequence information for face recognition

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

Voice Activity Detection based on Deep Learning & TensorFlow

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

Training Toolbox for Caffe

Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch Version (https://github.com/AlfredXiangWu/LightCNN)

PyTorch to Keras model convertor

Python library to easily log experiments and parallelize hyperparameter search for neural networks

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

《深度学习与计算机视觉》配套代码

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

A caffe implementation of mobilenet's depthwise convolution layer.

PyTorch implementation of CNNs for CIFAR benchmark

Implementing YOLO using ResNet as the feature extraction network

Largest list of models for Core ML (for iOS 11+)

Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).

Repository of my fashion-parsing project. This project is put on hold since I am doing another project now, but will debug if bugs are reported.

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

Convert Darknet model to Caffe's

Caffe and Python implementation of Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks