Projects in Awesome Lists tagged with conv2d

https://github.com/avik-pal/deeplearningbenchmarks

Benchmarks across Deep Learning Frameworks in Julia and Python

benchmark computer-vision conv2d flux gpu julia machine-learning pytorch

Last synced: 29 Jul 2025

https://github.com/epsoft/layers

layers

attention conv2d dense flatten globalmaxpooling1d layers maxpooling2d noisy-regularization relu relu-activation relu-layer sequential sequential-models tensorflow

Last synced: 01 May 2025

https://github.com/sushant1827/Fashion-Clothing-Classification

Kaggle Machine Learning Competition Project : In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset of Zalando's article images

adam-optimizer categorical-cross-entropy classification classification-report conv2d dropout keras keras-classification-models keras-neural-networks maxpooling model-evaluation reshaping splitting subplots

Last synced: 14 Oct 2025

https://github.com/epsoft/keras-convolutianl-networks

Keras Convolutianl Networks

activation batchnormalization conv2d dense dropout flatten glorot-uniform ipython keras-convolutianl-networks l2 matplotlib maxpooling2d sequential tensorflow to-categorical

Last synced: 27 Dec 2025

https://github.com/anurima-saha/image_classification_cnn_mobilenetv3

IMAGE CLASSIFICATION USING CNN and MobileNetV3

adam-optimizer conv2d convolutional-neural-networks cross-entropy-loss deep-learning image-classification keras-neural-networks mobile-net-v3 mobilenetv3

Last synced: 26 Feb 2025

https://github.com/epsoft/image-augmentation

Image Augmentation

conv2d database datase dense image-augmentation matplotlib numpy os pyplot sequential tensorflow

Last synced: 31 Dec 2025

https://github.com/witmemtech/Witin-NN-Tool-

The "witin_nn" framework, based on PyTorch, maps neural networks to chip computations and supports operators including Linear, Conv2d, and GruCell. It enables 8-12 bit quantization for inputs/outputs and weights, implementing QAT.

computinginmemory conv2d convtranspose2d grucell linear nat natural-language-processing nerual-network pytorch qat

Last synced: 30 Sep 2025

https://github.com/witmemtech/witin-nn-tool-

The "witin_nn" framework, based on PyTorch, maps neural networks to chip computations and supports operators including Linear, Conv2d, and GruCell. It enables 8-12 bit quantization for inputs/outputs and weights, implementing QAT.

computinginmemory conv2d convtranspose2d grucell linear nat natural-language-processing nerual-network pytorch qat

Last synced: 03 Jul 2025

https://github.com/aarid/cuda_operations

This project compares performance between CPU and GPU with CUDA operations. Two simples cases are used: matrix multiplication and 2d convolution.

conv2d cuda cuda-programming gpu gpu-computing matrix-multiplication

Last synced: 20 Feb 2025

https://github.com/ostad-ai/pytorch-tutorial

This repository provides topics in PyTorch which is used for Deep Learning

cifar10 conv2d dataloaders datasets deep-learning iris lenet mean-squared-error mnist one-hot-encoding python pytorch stochastic-gradient-descent torchvision-transforms

Last synced: 17 Mar 2025

https://github.com/shhiivvaam/traffic_prediction

This project explores the application of advanced neural network architectures, including Multi-Layer Perceptron (MLP), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU), to forecast traffic volume. 👍👍✅

conv1d conv2d keras lstm matplotlib numpy pandas seaborn sklearn statsmodels tensorflow