resnets

MihawkHu/DCASE2020_task1

Code for DCASE 2020 task 1a and task 1b.

zfgao66/deeplearning-mpo

Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO

jerett/PyTorch-CIFAR10

practice on CIFAR10 with PyTorch

SSQ/Coursera-Ng-Convolutional-Neural-Networks

aihpi/practical-computer-vision-with-pytorch

Content for workshops on computer vision @ HPI's AI Service Center

vorobeevich/distillation-in-dg

Implementation of "Weight Averaging Improves Knowledge Distillation under Domain Shift" (ICCV 2023 OOD-CV Workshop)

xternalz/SDPoint

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks

jaswindersingh2/RNAsnap2

Single-sequence and Profile-based Prediction of RNA Solvent Accessibility Using Dilated Convolution Neural Network

cambridge-mlg/arch_uncert

Code for "Variational Depth Search in ResNets" (https://arxiv.org/abs/2002.02797)

fangvv/EdgeKE

Code for paper "EdgeKE: An On-Demand Deep Learning IoT System for Cognitive Big Data on Industrial Edge Devices"

lokhande-vishnu/deepcg

Moddy2024/ResNet-9

Designed a smaller architecture implemented from the paper Deep Residual Learning for Image Recognition and achieved 93.65% accuracy.

thisishardik/AI-advertisement-platform-dl

This is an AI-powered advertisement platform that performs Face Detection using Haar Cascade Frontal Face and Wide ResNet to detect your age and gender via an external camera and then show you video advertisements related to the products that suit your corresponding age and gender in real-time.

basiralab/RESNets

Residual Embedding Similarity-based Network Selection (RESNets) for forecasting network dynamics.

Moddy2024/ResNet-18

Implemented the Deep Residual Learning for Image Recognition Paper and achieved better accuracy by customizing different parts of the architecture.

shiming-chen/Writer-Identification

The experiment of project

cattidea/shoeprint-recognition

:footprints: “恒锐杯”鞋印花纹图像类别判定挑战赛

parikshitkumar1/Starterdex

A computer vision web-app that uses deep learning and Residual Neural Networks to identify your Pokémon and then tells you all about it.

arbiter1elegantiae/Robustness-of-deep-neural-networks-with-trainable-activation-functions

Robustness of Deep Neural Networks using Trainable Activation Functions

Moddy2024/ResNet-34

Implemented Deep Residual Learning for Image Recognition Paper and achieved lower error rate by customizing different parts of the architecture.

shambhavimalik/ResNet50

The aim is to build a Deep Convolutional Network using Residual Networks (ResNet). Here we build ResNet 50 using Keras.

uname0x96/yolov3_multi_backbone

Yolov3 with multi backbone

95anantsingh/NYU-ResNet-On-Steroids

High Accuracy ResNet Model under 5 Million parameters.

InzamamAnwar/ResNet-50-Multi-GPU-Implementation

Simple Multi-GPU Implementation of ResNet in Tensorflow

U-Abhishek/Convolutional-Neural-Network

dansolombrino/Biscuits

A set of experiments inspired by the paper "Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs" by Jonathan Frankle, David J. Schwab, Ari S. Morcos

mathieujcqs/adaptive_grad_clip_project

Optimize ResNet Learning Process

MithileshL-26/CLASSIFICATION_-_PREDICTION_OF_HANDWRITTEN_DEVANAGARI_SCRIPT_USING_TRANSFER_LEARNING-

This Project uses Convolutional Neural Networks (CNN) for the classification and prediction of handwritten Devanagari script. Leveraging transfer learning techniques, it adapts pre-trained models to recognize and forecast characters in Devanagari, enhancing accuracy and efficiency.

runnily/forward-thinking

Training using an alternative approach: forward-thinking

sagarreddypatil/cifar10-pytorch-cnn

Simple implementation of a residually connected convolutional neural network in PyTorch

smrusmn/DeepLearning_Pytorch

Initial Deep Learning Projects With Pytorch

VedantG-02/pytorch-PlayGround

Block-by-block implementation from scratch of CNNs and GANs using PyTorch, with language models to be added later.

anantoj/pytorch-mini-projects

A collection of small-scale projects that helped me learn the basics of the PyTorch framework

SubhashKrYadav/RoadToLearnDeepLearning

Journey to Learn Deep Learning with Pytorch from scratch i.e, from Tensor & Gradients to Advance topic like Generative Adversarial Networks

vikramsandu/VISION_ARCHITECTURES

Pytorch Implementation and Performance Analysis of the Popular Vision Architectures from Scratch.