7350 Open source projects that are alternatives of or similar to Triplet Attention

Notes and Summaries on ML-related Research Papers (with optional implementations)

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Action recognition using soft attention based deep recurrent neural networks

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Evaluation of the CNN design choices performance on ImageNet-2012.

Important paper implementations for Question Answering using PyTorch

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

Text to Speech with PyTorch (English and Mongolian)

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

[ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"

S3FD: single shot face detector in pytorch

Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

Hiding Images within other images using Deep Learning

Reproduce CheXNet

CNN image classifier implemented in Keras Notebook 🖼️.

A lightweight convolutional neural network

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Anomaly detection tutorial on univariate time series with an auto-encoder

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

Chinese Poetry Generation

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

a collection of my notes on deep learning

Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

Dstl Satellite Imagery Feature Detection

Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

从零开始学习YOLOv3教程解读代码+注意力模块(SE,SPP,RFB etc)

Object classification with CIFAR-10 using transfer learning

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

MTCNN face detection implementation for TensorFlow, as a PIP package.

Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

A bidirectional LSTM with attention for multiclass/multilabel text classification.

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

Code examples for training AlexNet using Keras and Theano

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

lidc nodule detection with CNN and LSTM network

Image Deblurring using Generative Adversarial Networks

A machine learning experiment

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

A journey into Convolutional Neural Network visualization

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

Implementations of some popular Saliency Maps in Keras

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Deep learning codes and projects using Python

Build a CNN network to predict 3D bounding box of car from 2D image.

Open Source Landmarking Library

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Coherent Semantic Attention for image inpainting(ICCV 2019)

MTCNN with Motion Detection, on Raspberry Pi with Love

Detecting cinema shot types using a ResNet-50