814 Open source projects that are alternatives of or similar to Drln

A Neural Networking library based on NumPy only

Implementation of Knowledge Aided Consistency for Weakly Supervised Phrase Grounding in Tensorflow

实现常用基于深度学习的人脸检测算法

Latest development of ISR/VSR. Papers and related resources, mainly state-of-the-art and novel works in ICCV, ECCV and CVPR about image super-resolution and video super-resolution.

This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.

Image Tampering Detection using ELA and CNN

Using Machine Learning to predict the type of exercise from movement data

AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charitable hospitals, and organizations like WHO 🌏 We will also release our pretrained models and weights as Medical Imagenet.

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Awesome Resources for Advanced Computer Vision Topics

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.

R interface to the keras library

ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)

videos, lectures, blogs for Deep Learning

Reformer, the efficient Transformer, in Pytorch

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Test implementation of Deeply-Recursive Convolutional Network for Image Super-Resolution

Text Classification Algorithms: A Survey

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.

a collection of my notes on deep learning

Cifar-10 CNN implementation using TensorFlow library with 20% error.

Finding Tiny Faces in PyTorch

Raw implementation of attention gated U-Net by Keras

Object classification with CIFAR-10 using transfer learning

Xilinx Deep Learning IP

Keras implementation of video classifier

Unity Post Processing with Convolution Neural Network

Generating Captions for images using Deep Learning

ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch

Biologically-realistic recurrent convolutional neural networks

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

A MNIST-like fashion product database. Benchmark 👇

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

Classify each facial image into one of the seven facial emotion categories considered using CNN based on https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge

Top 200 deep learning Github repositories sorted by the number of stars.

Recognizes the facial emotion and overlays emoji, equivalent to the emotion, on the persons face.

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

Source code of AAAI 2020 paper 'Learning to Incorporate Structure Knowledge for Image Inpainting'

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

vehicle image retrieval using k CNNs ensemble method

SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks

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)

Repository for Region Ensemble Network based Hand Pose Estimation

official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection

pip install antialiased-cnns to improve stability and accuracy

CMU's OpenPose for ROS

A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.

Reference caffe implementation of LSUV initialization

Implementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."

A Collection of Papers and Codes for ECCV2020 Low Level Vision or Image Reconstruction

a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

Speech Recognition model based off of FAIR research paper built using Pytorch.

Perform deep neural network based face detection and recognition in the cloud (via AWS lambda) with zero model configuration or tuning.

torch implementation of srgan