492 Open source projects that are alternatives of or similar to Antialiased Cnns

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Code for FCHD - A fast and accurate head detector

Real time face alignment

Neural network inference the Unix way

Breast Cancer Classification using CNN and transfer learning

Models and code related to sketch simplification of rough sketches.

Music recommender using deep learning with Keras and TensorFlow

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions

Finetuning AlexNet, VGGNet and ResNet with TensorFlow

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

A convolutional neural network for graph classification in PyTorch

Digit recognition with Convolutional Neural Networks in WebGL

Interactive convnet features visualization for Keras

Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition

Generating Captions for images using Deep Learning

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

Keras implementation of video classifier

Scripts for https://www.nature.com/articles/s41598-018-27707-4, using Convolutional Neural Network to detect lung cancer tumor area

Tensorflow-based CNN+LSTM trained with CTC-loss for OCR

A MNIST-like fashion product database. Benchmark 👇

Efficient Learning of Augmentation Policy Schedules

ECG classification programs based on ML/DL methods

food image to recipe with deep convolutional neural networks.

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

Spatio-temporal modeling 论文列表（主要是graph convolution相关)

Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)

Building Convolutional Neural Networks From Scratch using NumPy

Unity Post Processing with Convolution Neural Network

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

PyTorch implementation of LeNet-5 with live visualization

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

vehicle image retrieval using k CNNs ensemble method

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

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

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

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

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

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

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

Super Resolution of picture images using deep learning

This repository is for my article "Tutorial: Build a lane detector" published on Medium.

A brand logo detection system using tensorflow object detection API.

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

Implementation of State-of-the-art Text Classification Models in Pytorch

ConText v4: Neural networks for text categorization

This is an open sourced book on deep learning.

doing audio digital signal processing in tensorflow to try to recreate digital audio effects

U-Net: Convolutional Networks for Biomedical Image Segmentation

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

lock mechanism with face recognition and liveness detection

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

Rare pupper image compression model for word-embedding-esque operations.

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

pip install antialiased-cnns to improve stability and accuracy

Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

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

Some of my scripts to automate the boring stuff around me