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Discover 126 open source projects
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ruotianluo/pytorch-faster-rcnn
A PyTorch-based Faster R-CNN implementation for object detection, used for AI/ML research and development.
guillaume-chevalier/Awesome-Deep-Learning-Resources
A curated list of deep learning resources, including topics like CNN, LSTM, and TensorFlow.
tugstugi/dl-colab-notebooks
This repository provides Jupyter Notebook examples to try out deep learning models online using Google Colab.
longcw/faster_rcnn_pytorch
A PyTorch-based implementation of the Faster R-CNN object detection algorithm.
TuSimple/mx-maskrcnn
An MXNet implementation of Mask R-CNN, a deep learning object detection and segmentation algorithm.
dog-qiuqiu/MobileNet-Yolo
A highly efficient and compact MobileNet-based object detection model for real-time inference on mobile devices.
NVlabs/PWC-Net
A PyTorch implementation of the PWC-Net, a CNN-based optical flow estimation model for computer vision tasks.
szad670401/HyperLandmark
A deep learning-based face landmark detection library for real-time Android applications.
cszn/DnCNN
A deep learning-based image denoising library that can handle a variety of denoising tasks like JPEG deblocking and super-resolution.
qiuqiangkong/audioset_tagging_cnn
This is a Python library for audio tagging using a convolutional neural network model trained on the AudioSet dataset.
jasonwei20/eda_nlp
Data augmentation for NLP using CNN and RNN, presented at EMNLP 2019
abdulfatir/twitter-sentiment-analysis
A Python library for sentiment analysis on tweets using various machine learning models.
ramprs/grad-cam
Grad-CAM is a deep learning visualization technique for interpreting and explaining CNN-based models.
kakaobrain/fast-autoaugment
Fast AutoAugment is an official PyTorch implementation for automatic data augmentation.
yu4u/age-gender-estimation
A Keras-based implementation of a CNN network for age and gender estimation from images.
filipradenovic/cnnimageretrieval-pytorch
A PyTorch library for training and evaluating convolutional neural networks (CNNs) for image retrieval.
vlawhern/arl-eegmodels
A collection of Convolutional Neural Network (CNN) models for EEG signal classification using Keras and Tensorflow
peteanderson80/bottom-up-attention
Bottom-up attention model for image captioning and visual question answering, built on Faster R-CNN and Visual Genome.
lxztju/pytorch_classification
A comprehensive PyTorch-based code repository for image classification, including training, prediction, TTA, model fusion, deployment, and more.
DLTK/DLTK
A deep learning toolkit for medical image analysis, supporting a variety of neural network models and medical imaging tasks.
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