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Search results for neural network imagenet
imagenet
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neural-network
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33 search results found
Tensorlayer
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7,298
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Models
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6,819
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
Ml5 Library
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6,134
Friendly machine learning for the web! 🤖
Keras Js
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4,879
Run Keras models in the browser, with GPU support using WebGL
Super Gradients
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4,125
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
Imgclsmob
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2,399
Sandbox for training deep learning networks
Biggan Pytorch
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2,356
The author's officially unofficial PyTorch BigGAN implementation.
One Pixel Attack Keras
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1,078
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
Srec
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918
PyTorch Implementation of "Lossless Image Compression through Super-Resolution"
Xnor Net
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767
ImageNet classification using binary Convolutional Neural Networks
Randwirenn
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663
Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
Sparknet
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601
Distributed Neural Networks for Spark
Datumaro
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452
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
Neural Backed Decision Trees
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445
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
Libtorchsegmentation
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380
A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
Espnetv2
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375
A light-weight, power efficient, and general purpose convolutional neural network
Computer Vision
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354
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
Bag_of_tricks_for_image_classification_with_convolutional_neural_networks
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352
experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc
Applied Deep Learning Resources
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301
A collection of research articles, blog posts, slides and code snippets about deep learning in applied settings.
Randwirenn
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259
Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
Shufflenet
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251
ShuffleNet in PyTorch. Based on https://arxiv.org/abs/1707.01083
Keras Resnext
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219
Implementation of ResNeXt models from the paper Aggregated Residual Transformations for Deep Neural Networks in Keras 2.0+.
Pyconv
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205
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Conformal_classification
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159
Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
Iresnet
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157
Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
Adaptively Connected Neural Networks
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143
A re-implementation of our CVPR 2019 paper "Adaptively Connected Neural Networks"
Shufflenet V2 Tensorflow
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131
A lightweight convolutional neural network
Mobilenetworks
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128
Keras implementation of Mobile Networks
Dnw
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118
Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)
Caffejs
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116
Run Caffe models in the browser using ConvNetJS
Invertinggradients
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109
Algorithms to recover input data from their gradient signal through a neural network
Efficientnet Pytorch
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108
A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".
Robot Grasp Detection
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97
Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.
Gradaug
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75
[NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks
Pytorch Model Compare
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71
Compare neural networks by their feature similarity
Keras Shufflenet
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66
ShuffleNet Implementation using Keras Functional Framework 2.0
Orthogonal Convolutional Neural Networks
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65
Code for paper "Orthogonal Convolutional Neural Networks".
Grasp
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40
Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH
Hardhat Detector
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40
A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.
Mobilenet_v1_stm32_cmsis_nn
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40
Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support
Pytorch Nn Practice
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33
💩 My pytorch neural network practice repo
Chainer Trt
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31
Chainer x TensorRT
Head Network Distillation
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27
[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"
Style Based Recalibration Module
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25
PyTorch code for our paper : "SRM : A Style-based Recalibration Module for Convolutional Neural Networks" (https://arxiv.org/abs/1903.10829)
Event_representation_study
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21
Official PyTorch implementation of the ICCV 2023 paper: From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection.
Adversarial_reprogramming
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20
Adversarial Reprogramming of Neural Networks
Deephoyer
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19
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures
Bluff
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16
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks
Whatsthere
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16
Pytorch based Android app, which classifies images using MobileNet-V2 model, takes image using CameraX API
Res_nets_tutorial
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15
A tutorial on Residual Networks which was originally proposed by Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun from Microsoft Research Team.
Triplet Loss
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14
Fine tune and train a CNN pre-trained on Imagenet dataset, using Triplet Loss
Nn Patterns
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12
TODO ;)
Yolov3 Quantization Model V1.0
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12
YOLOv3 quantization model v10, only for quantization off-line
Pytorch Peleenet
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12
Simple Code Implementation of "PeleeNet" architecture in "Pelee Paper" using PyTorch.
Activationfunctiondemo
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11
The "Activation Function Demo" is a demo for implementing activation function with the mathod propsed in paper: Design Space Exploration of Neural Network Activation Function Circuits
Salty Wet Man
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10
Online content control dashboard. Binary classification filter/flag for inappropriate NSFW content with automated reporting
Count Sketch Optimizers
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10
A compressed adaptive optimizer for training large-scale deep learning models using PyTorch
Alexnet Tensorflow
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10
An Implementation of AlexNet Convolutional Neural Network Architecture by Krizhevsky, Sutskever & Hinton using Tensorflow.
Randwirenn
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9
Unofficial Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
Siamese Network
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9
Implementation of Siamese Neural Network in Caffe
Imi Demos
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9
live convolutional neural networks demos
Pycalib
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9
Non-Parametric Calibration for Classification (AISTATS 2020)
Adversarialanddimensionality
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8
First-Order Adversarial Vulnerability of Neural Networks and Input Dimension
Pl Cnn
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8
A layer-wise algorithm for learning Convolutional Neural Networks
Cnn_vgg19_cuda
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8
Convolutional Neural Network of vgg19 model using Cuda to accelerate
Adversarial Reprogramming Tensorflow
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8
TensorFlow implementation of Adversarial Reprogramming of Neural Networks https://arxiv.org/abs/1806.11146
Candidate_models
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7
Candidate Models to evaluate on Brain-Score benchmarks
Random Wired Nn Tensorflow
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7
Tensorflow implementation of "Exploring Randomly Wired Neural Networks for Image Recognition"
B Lrp
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6
B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks
Model Zoo Models
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6
Crelu
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6
CReLU (Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units) with Caffe
Deep_visualization_neural_networks_web_app
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6
Easy way to visualize convolutional neural networks, through two visualizations : Reason & MaxOut. Final version : web app.
Ternarized_neural_network
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6
Optimizing Deep Convolutional Neural Network with Ternarized Weights and High Accuracy
Mobilenet_v1_stmcube_ai
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5
Mobilenet v1 (3,128,128, alpha=0.25) on STMH7 using STMCube AI
Paper_notes
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5
Igcv_v1.pytorch
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5
re-implement for paper: Interleaved Group Convolutions for Deep Neural Networks. (IGCV V1)
G Resnext_groupnet
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5
re-implement of Group ConvNet, also be called as G-ResNext. It's from the paper, reproduction of the paper "Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks".
Image Ai
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5
General purpose AI experiments. Use face detection to identify politics figure, automatic face priority crop, image caption and labelling.
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1-33 of 33 search results
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