580 Open source projects that are alternatives of or similar to Keras Vgg16 Places365

Video Classification using 2 stream CNN

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

Implementation of Neural Image Captioning model using Keras with Theano backend

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

food image to recipe with deep convolutional neural networks.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

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

Deep learning codes and projects using Python

Data augmentation for NLP, presented at EMNLP 2019

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

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.

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

convolutional lstm implementation in pytorch

[REPO] Music Genre classification on GTZAN dataset using CNNs

Deep Learning Based Free Mobile Real-Time Face Landmark Detector. Contact:[email protected]

PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.

Spatial Pyramid Pooling on top of AlexNet using tensorflow. ***New updates for SPPnet in Pytorch**

Kaggle Data Science Bowl 2018

An open source library for face detection in images. The face detection speed can reach 1000FPS.

Collection of popular and reproducible image denoising works.

Keras implementation of the renowned publication "DeepFace: Closing the Gap to Human-Level Performance in Face Verification" by Taigman et al. Pre-trained weights on VGGFace2 dataset.

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Object localization in images using simple CNNs and Keras

LASER multilingual sentence embeddings as a pip package

An Open Source Deep Learning Inference Engine Based on FPGA

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥

Object classification with CIFAR-10 using transfer learning

基于卷积神经网络的语音识别声学模型的研究

3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)

Play MK.js with TensorFlow.js

Collections of model quantization algorithms

dna2vec: Consistent vector representations of variable-length k-mers

Attention-guided CNN for image denoising(Neural Networks,2020)

Aspect extraction from product reviews - window-CNN+maxpool+CRF, BiLSTM+CRF, MLP+CRF

Notes for Deep Learning Specialization Courses led by Andrew Ng.

YOLO3 动漫人脸检测 (Based on keras and tensorflow) 2019-1-19

Noise-Tolerant Paradigm for Training Face Recognition CNNs

💳 Detecting the National Identification Cards with Deep Learning (Faster R-CNN)

基于CNN的验证码整体识别

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

Scripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Character-based word embeddings model based on RNN for handling real world texts

pytorch implementation of "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume"

A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.

A sophisticated smart symptom search engine

Deep Learning--深度学习

The deeplearning algorithms implemented by tensorflow

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".

Source codes and corpora of paper "Iterated Dilated Convolutions for Chinese Word Segmentation"

PyTorch implementation of SIFT descriptor

A curated list of awesome embedding models tutorials, projects and communities.

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch

The Places365-CNNs for Scene Classification

All my experiments with AI and ML