443 Open source projects that are alternatives of or similar to Deep Alignment Network A Convolutional Neural Network For Robust Face Alignment

A specially designed light version of Fast AutoAugment

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

A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

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

3D image classification using CNN (Convolutional Neural Network)

CNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet

Supervised Semantics-preserving Deep Hashing (TPAMI18)

Dynamic Image Networks for Action Recognition

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

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

A sign language interpreter using live video feed from the camera.

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

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

MetalImage is more faster and powerful than opengles for iOS. It is very similar to GPUImage framework, but perform a better 3D rendering and multithreads computing abilities.

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

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

Some of my scripts to automate the boring stuff around me

Simplify the training and tuning of Tensorflow models

This's an implementation of deepmind Visual Interaction Networks paper using pytorch

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

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

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

Simple Convolutional Neural Network Library

A High-Quality Real Time Upscaler for Anime Video

papers on scalable and efficient machine learning systems

brain.js is a GPU accelerated library for Neural Networks written in JavaScript.

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Naszilla is a Python library for neural architecture search (NAS)

CNN image style transfer 🎨.

OSMDeepOD - OpenStreetMap (OSM) and Machine Learning (Deep Learning) based Object Detection from Aerial Imagery (Formerly also known as "OSM-Crosswalk-Detection").

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

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

A simple interface for editing natural photos with generative neural networks.

Deep learning codes and projects using Python

Repository has been moved: https://github.com/adobe/antialiased-cnns

A Complete and Simple Implementation of MobileNet-V2 in PyTorch

Image reconstruction done with untrained neural networks.

keras project that parses and analyze english resumes

Finetuning AlexNet, VGGNet and ResNet with TensorFlow

A generalized gradient-based CNN visualization technique

A journey into Convolutional Neural Network visualization

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

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

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

HDLTex: Hierarchical Deep Learning for Text Classification

A machine learning experiment

Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)

Image Deblurring using Generative Adversarial Networks

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

Implementation of Very Deep Convolutional Neural Network for Text Classification

Neural networks toolbox focused on medical image analysis

A deep learning framework for molecular docking

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

Tensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015)

Time series prediction using dilated causal convolutional neural nets (temporal CNN)