amanchadha/iSeeBetter

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

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uname0x96/yolov3_multi_backbone

Yolov3 with multi backbone

Language: Python - Size: 2.66 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 2

aihpi/practical-computer-vision-with-pytorch Fork of andandandand/image-dataset-curation

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

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fangvv/EdgeKE

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

Language: Python - Size: 49.8 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 9 - Forks: 3

VedantG-02/pytorch-PlayGround

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

Language: Python - Size: 141 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

cattidea/shoeprint-recognition 📦

:footprints: “恒锐杯”鞋印花纹图像类别判定挑战赛

Language: Python - Size: 559 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1

lokhande-vishnu/deepcg

Language: Python - Size: 157 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 9 - Forks: 4

vorobeevich/distillation-in-dg

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

Language: Python - Size: 13.3 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 1

SubhashKrYadav/RoadToLearnDeepLearning

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

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U-Abhishek/Convolutional-Neural-Network

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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.

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jaswindersingh2/RNAsnap2

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

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mathieujcqs/adaptive_grad_clip_project

Optimize ResNet Learning Process

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jerett/PyTorch-CIFAR10

practice on CIFAR10 with PyTorch

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runnily/forward-thinking 📦

Training using an alternative approach: forward-thinking

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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

Language: Python - Size: 125 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

xternalz/SDPoint

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

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sagarreddypatil/cifar10-pytorch-cnn

Simple implementation of a residually connected convolutional neural network in PyTorch

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Moddy2024/ResNet-9

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

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Moddy2024/ResNet-34

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

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SSQ/Coursera-Ng-Convolutional-Neural-Networks

Language: Python - Size: 57.2 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 30 - Forks: 44

Moddy2024/ResNet-18

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

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MihawkHu/DCASE2020_task1

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

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vikramsandu/VISION_ARCHITECTURES

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

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zfgao66/deeplearning-mpo

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

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95anantsingh/NYU-ResNet-On-Steroids

High Accuracy ResNet Model under 5 Million parameters.

Language: Python - Size: 797 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1

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.

Language: Python - Size: 104 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 3

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.

Language: Python - Size: 22.9 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

cambridge-mlg/arch_uncert

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

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anantoj/pytorch-mini-projects

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

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basiralab/RESNets

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

Language: Python - Size: 1.23 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 2

shiming-chen/Writer-Identification

The experiment of project

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

Robustness of Deep Neural Networks using Trainable Activation Functions

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