InterpretDLInterpretDL: Interpretation of Deep Learning Models,基于『飞桨』的模型可解释性算法库。
deep-atrous-nerDeep-Atrous-CNN-NER: Word level model for Named Entity Recognition
saliencyContextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]
regulatory-predictionCode and Data to accompany "Dilated Convolutions for Modeling Long-Distance Genomic Dependencies", presented at the ICML 2017 Workshop on Computational Biology
TPC-LoS-predictionThis repository contains the code used for Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit (https://dl.acm.org/doi/10.1145/3450439.3451860).
MSFOfficial code for "Mean Shift for Self-Supervised Learning"
NumNumMulti-digit prediction from Google Street's images using deep CNN with TensorFlow, OpenCV and Python.
TimeSeries2DBarChartImageCNNConversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)
ihradis-cnn-deblurImage deblurring with Convolutional Neural Networks. Scripts & Neural network models available here
digitrecognition iosDeep Learning with Tensorflow/Keras: Digit recognition based on mnist-dataset and convolutional neural-network on iOS with CoreML
deep-learningAssignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke
wasr networkWaSR Segmentation Network for Unmanned Surface Vehicles v0.5
Offline-Signature-VerificationImplemented two papers for offline signature verification. Both use different deep learning techniques - Convolutional network and Siamese network.
vessegBrain vessel segmentation using 3D convolutional neural networks
vrpdrDeep Learning Applied To Vehicle Registration Plate Detection and Recognition in PyTorch.
convolutedDependently typed convolutional neural networks
connect4Solving board games like Connect4 using Deep Reinforcement Learning
flexinferA flexible Python front-end inference SDK based on TensorRT
grydsA Python package for geometric transformations of images for data augmentation in deep learning
dehaze[Preprint] "Improved Techniques for Learning to Dehaze and Beyond: A Collective Study"
TNCR DatasetDeep learning, Convolutional neural networks, Image processing, Document processing, Table detection, Page object detection, Table classification. https://www.sciencedirect.com/science/article/pii/S0925231221018142
NIvsCG-kerasDistinguishing Between Natural and Computer-Generated Images Using Convolutional Neural Networks in Keras.
CGvsPhotoComputer Graphics vs Real Photographic Images : A Deep-learning approach
deep-tic-tac-toeUsed deep reinforcement learning to train a deep neural network to play tic-tac-toe and deployed using tensorflow.js.
Batch-FirstA JIT compiled chess engine which traverses the search tree in batches in a best-first manner, allowing for neural network batching, asynchronous GPU use, and vectorized CPU computations.
imgcropSimple image augmentation library focusing on random geometric cropping
stanford-cs231n-assignments-2020This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).
fooddistAn open-source food image embedding model
tbcnnEfficient tree-based convolutional neural networks in TensorFlow