Sarabjot Singh 's starred repositories
Awesome-Speech-Enhancement
A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.
EffectivePyTorch
PyTorch tutorials and best practices.
researchpapers
A list of research papers that I have read so far and recommend to other Deep Learning enthusiasts such as myself.
Residual-Attention-Network
Keras Implementation Residual Attention Network
ResidualAttentionNetwork
A Gluon implement of Residual Attention Network. Best acc on cifar10-97.78%.
ResidualAttentionNetwork-pytorch
a pytorch code about Residual Attention Network. This code is based on two projects from
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
image-segmentation-keras
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
keras-applications
Reference implementations of popular deep learning models.
residual_attention_network
Keras implementation of Residual Attention Network
ResNet-Attention-layer-custom-data-set
This is a deep learning network: ResNet with an attention layer that can be used on a custom data set.
audio_classification
Multi-class audio classification with MFCC features using CNN
gender-audio-classification
A speaker gender classifier. MFC feature engineering and a pre-trained ResNet-50. GradCAM interpretation.
Audio-Classification-using-Deep-Learning
Classifying 10 different categories of Sound using Deep Learning.
deep-listening
Deep Learning experiments for audio classification
DeepAudioClassification
Audio classification using Tensorflow
pytorch-mobilenet-v2
A PyTorch implementation of MobileNet V2 architecture and pretrained model.
CLIP-Tensorflow
Simple Tensorflow implementation of CLIP
vit-tensorflow
Vision Transformer Cookbook with Tensorflow
awesome-project-ideas
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
Transformers-for-NLP-and-Computer-Vision-3rd-Edition
Transformers 3rd Edition