978 Open source projects that are alternatives of or similar to Imagenet

3D reconstruction with neural networks using Tensorflow. See link for Video (https://www.youtube.com/watch?v=iI6ZMST8Ri0)

Finding Tiny Faces in PyTorch

PyTorch tutorial for learners

Vehicle make and model classification in Tensorflow by fine-tuning VGG16

Real time emotion recognition

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).

Visual Question Answering in Pytorch

This Repository contains all tensorflow tutorials.

Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

DenseNet Implementation in Tensorflow

Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399

Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.

LUNA16-Lung-Nodule-Analysis-2016-Challenge

猫狗大战

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

EasyTransfer is designed to make the development of transfer learning in NLP applications easier.

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

FeatherCNN is a high performance inference engine for convolutional neural networks.

Play MK.js with TensorFlow.js

Implementation of Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) on Pytorch.

一些关于机器学习的学习资料与研究介绍

Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".

Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Generating proportional fonts with deep learning

A TensorFlow implementation of the Mnemonic Descent Method.

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

Robust freeform surface modeling from user 2d sketches.

Keras implementation of video classifier

Models and code related to sketch simplification of rough sketches.

Semantic segmentation on iPhone using ESPNetv2

DenseFuse (IEEE TIP 2019) - TensorFlow 1.8.0

Real-time pose estimation accelerated with NVIDIA TensorRT

Diabetic retinopathy screening w/ Tensorflow.

Silero Models: pre-trained STT models and benchmarks made embarrassingly simple

Pretrained BERT model for analysing COVID-19 Twitter data

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

高质量中文预训练模型集合：最先进大模型、最快小模型、相似度专门模型

ConText v4: Neural networks for text categorization

Simple Tensorflow implementation of Densenet using Cifar10, MNIST

Sign Language Recognition for Deaf People

NLP Paper

Reference caffe implementation of LSUV initialization

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

Corruption and Perturbation Robustness (ICLR 2019)

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

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

CVPR2014-Convolutional neural networks for no-reference image quality assessment

Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"

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.

Deep Learning in Haskell

reference pytorch code for named entity tagging

PyTorch implementations of recent Computer Vision tricks

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

Visualisations for Convolutional Neural Networks in Pytorch