Richard Fang's Projects
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
List of satellite imagery datasets with annotations for computer vision and deep learning
Cross-Modality Attentive Feature Fusion for Object Detection in Multispectral Remote Sensing Imagery
Convolutional Neural Networks
DeepLabv3, DeepLabv3+ and pretrained models on VOC & Cityscapes
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
Config files for my GitHub profile.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
[WACV 2021]"Guided Attentive Feature Fusion for Multispectral Pedestrian Detection"
A library for transfer learning by reusing parts of TensorFlow models.
Attention mechanism Implementation for Keras.
Keras implementation of RetinaNet object detection.
Neural network visualization toolkit for keras
A Keras implementation of YOLOv3 (Tensorflow backend)
I transfer the backend of yolov3 into Mobilenetv1,VGG16,ResNet101 and ResNeXt101
Keras Implementation of faster-rcnn
This is a LaTeX report template in both English and Chinese.
Oxford Deep NLP 2017 course
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Try to implement MobileNetV3 in Keras
mobilenetv3 with pytorch,provide pre-train model
Models built with TensorFlow
Anchor-less Pedestrian Detection, on KAIST Multispectral Dataset.
Cross-Modality Fusion Mechanism for Multispectral Object Detection
Multispectral Object Detection with Yolov5 and Transformer
A list of resouces for multispectral pedestrian detection,including the datasets, methods, annotations and tools.
Visualizer for neural network, deep learning and machine learning models
This is a beamer in LaTeX for NUST
Thesis Template for Bachelor of Sci & Eng