Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for neural imagenet
imagenet
x
neural
x
61 search results found
Innvestigate
⭐
1,175
A toolbox to iNNvestigate neural networks' predictions!
One Pixel Attack Keras
⭐
1,078
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
Xnor Net
⭐
767
ImageNet classification using binary Convolutional Neural Networks
Dabnn
⭐
598
dabnn is an accelerated binary neural networks inference framework for mobile platform
Neural Backed Decision Trees
⭐
445
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
Odin
⭐
357
A simple and effective method for detecting out-of-distribution images in neural networks.
Computer Vision
⭐
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
⭐
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
⭐
301
A collection of research articles, blog posts, slides and code snippets about deep learning in applied settings.
Randwirenn
⭐
259
Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
Styletransfertrilogy
⭐
254
风格迁移三部曲
Keras Resnext
⭐
219
Implementation of ResNeXt models from the paper Aggregated Residual Transformations for Deep Neural Networks in Keras 2.0+.
Odin Pytorch
⭐
178
Principled Detection of Out-of-Distribution Examples in Neural Networks
Deconvolution
⭐
176
Atomnas
⭐
148
Code for ICLR 2020 paper 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'
Adaptively Connected Neural Networks
⭐
143
A re-implementation of our CVPR 2019 paper "Adaptively Connected Neural Networks"
Models Comparison.pytorch
⭐
141
Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures
Dnw
⭐
118
Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)
Caffejs
⭐
116
Run Caffe models in the browser using ConvNetJS
Petridishnn
⭐
110
Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
Invertinggradients
⭐
109
Algorithms to recover input data from their gradient signal through a neural network
Efficientnet Pytorch
⭐
108
A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".
Deepvis Preddiff
⭐
98
Visualizing Deep Neural Network Decisions: Prediction Difference Analysis
Robot Grasp Detection
⭐
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.
Tenas
⭐
95
[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang
Snail Pytorch
⭐
91
Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch
Unnas
⭐
88
Code for "Are labels necessary for neural architecture search"
Shapetexturedebiasedtraining
⭐
85
Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)
Ulnno
⭐
75
Unsupervised Learning on Neural Network Outputs
Nonlocal Tf
⭐
66
TensorFlow implementation of the Non-local Neural Network block in its various forms.
Orthogonal Convolutional Neural Networks
⭐
65
Code for paper "Orthogonal Convolutional Neural Networks".
Autonl
⭐
41
Code for AutoNL on ImageNet (CVPR2020)
Hardhat Detector
⭐
40
A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.
Pytorch Nn Practice
⭐
33
💩 My pytorch neural network practice repo
Adabits
⭐
31
Head Network Distillation
⭐
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"
Gbdt Nas
⭐
22
GBDT-NAS
Squeezenext.pytorch
⭐
20
re-implement for paper: SqueezeNext: Hardware-Aware Neural Network Design. (SqueezeNext)
Milenas
⭐
20
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation. Published in CVPR 2020
Cnn_vgg19_verilog
⭐
20
Convolution Neural Network of vgg19 model in verilog
Bluff
⭐
16
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks
Renas
⭐
14
Code of ImageNet training and evaluation for the paper: RENAS: Reinforced Evolutionary Neural Architecture Search
Nn Patterns
⭐
12
TODO ;)
Fooling_neural_network Interpretations
⭐
10
This repository provides a PyTorch implementation of "Fooling Neural Network Interpretations via Adversarial Model Manipulation". Our paper has been accepted to NeurIPS 2019.
Neural Architecture Transfer
⭐
10
Neural Architecture Transfer (Arxiv'20), PyTorch Implementation
Imi Demos
⭐
9
live convolutional neural networks demos
Randwirenn
⭐
9
Unofficial Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
Cnn_vgg19_cuda
⭐
8
Convolutional Neural Network of vgg19 model using Cuda to accelerate
Nbdt Pytorch Image Models
⭐
8
Neural-Backed Decision Tree sample integration with pytorch-image-models
Pl Cnn
⭐
8
A layer-wise algorithm for learning Convolutional Neural Networks
Ffjord Rnode
⭐
8
Regularized Neural ODEs (RNODE)
Random Wired Nn Tensorflow
⭐
7
Tensorflow implementation of "Exploring Randomly Wired Neural Networks for Image Recognition"
B Lrp
⭐
6
B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks
Model Zoo Models
⭐
6
Deep_visualization_neural_networks_web_app
⭐
6
Easy way to visualize convolutional neural networks, through two visualizations : Reason & MaxOut. Final version : web app.
Igcv_v1.pytorch
⭐
5
re-implement for paper: Interleaved Group Convolutions for Deep Neural Networks. (IGCV V1)
Sbnn
⭐
5
Singular Binarized Neural Network based on GPU Bit Operations (see our SC-19 paper)
Stochasticity_in_neural_ode
⭐
5
"Stochasticity in Neural ODEs: An Empirical Study". Experiments from the paper
Paper_notes
⭐
5
Neuralstyletransfer
⭐
5
Code for Neural Style Transfer.
Deep Symmetry
⭐
5
Related Searches
Python Neural (7,444)
Python Neural Network (7,064)
Python Convolutional Neural Networks (5,079)
Jupyter Notebook Neural (3,926)
Deep Learning Neural Network (3,760)
Jupyter Notebook Neural Network (3,677)
Machine Learning Neural Network (3,255)
Neural Deep Learning (2,555)
Tensorflow Neural (1,668)
Machine Learning Neural (1,332)
1-61 of 61 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.