Sign LanguageSign Language Recognition for Deaf People
Stars: ✭ 65 (-53.9%)
Multi Class Text Classification CnnClassify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.
Stars: ✭ 410 (+190.78%)
Aaltd18Data augmentation using synthetic data for time series classification with deep residual networks
Stars: ✭ 124 (-12.06%)
Deep Convolution Stock Technical AnalysisUses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.
Stars: ✭ 407 (+188.65%)
Rcnn Relation ExtractionTensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction
Stars: ✭ 64 (-54.61%)
Tf Pose EstimationDeep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.
Stars: ✭ 3,856 (+2634.75%)
Neuralnetwork.netA TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
Stars: ✭ 392 (+178.01%)
Deep RankingLearning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same
Stars: ✭ 64 (-54.61%)
DeeplogoA brand logo detection system using tensorflow object detection API.
Stars: ✭ 388 (+175.18%)
Practical Machine Learning With PythonMaster the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Stars: ✭ 1,868 (+1224.82%)
PointcnnPointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
Stars: ✭ 1,120 (+694.33%)
Espnetv2A light-weight, power efficient, and general purpose convolutional neural network
Stars: ✭ 377 (+167.38%)
Wav2letter.pytorchA fully convolution-network for speech-to-text, built on pytorch.
Stars: ✭ 104 (-26.24%)
RmdlRMDL: Random Multimodel Deep Learning for Classification
Stars: ✭ 375 (+165.96%)
DidnPytorch Implementation of "Deep Iterative Down-Up CNN for Image Denoising".
Stars: ✭ 61 (-56.74%)
DeepecgECG classification programs based on ML/DL methods
Stars: ✭ 124 (-12.06%)
Deep KoalarizationKeras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)
Stars: ✭ 364 (+158.16%)
Roadway intelVehicle make and model classification in Tensorflow by fine-tuning VGG16
Stars: ✭ 60 (-57.45%)
HardnetHardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
Stars: ✭ 350 (+148.23%)
Top Deep Learning Top 200 deep learning Github repositories sorted by the number of stars.
Stars: ✭ 1,365 (+868.09%)
Feel The KernGenerating proportional fonts with deep learning
Stars: ✭ 59 (-58.16%)
ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Stars: ✭ 345 (+144.68%)
Fire Detection Cnnreal-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)
Stars: ✭ 340 (+141.13%)
Cyclegan QpOfficial PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"
Stars: ✭ 59 (-58.16%)
Personality DetectionImplementation of a hierarchical CNN based model to detect Big Five personality traits
Stars: ✭ 338 (+139.72%)
YnetY-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images
Stars: ✭ 100 (-29.08%)
Ntaggerreference pytorch code for named entity tagging
Stars: ✭ 58 (-58.87%)
Lenet 5PyTorch implementation of LeNet-5 with live visualization
Stars: ✭ 122 (-13.48%)
ArtificioDeep Learning Computer Vision Algorithms for Real-World Use
Stars: ✭ 326 (+131.21%)
Convisualize nbVisualisations for Convolutional Neural Networks in Pytorch
Stars: ✭ 57 (-59.57%)
LsuvinitReference caffe implementation of LSUV initialization
Stars: ✭ 99 (-29.79%)
Bcdu NetBCDU-Net : Medical Image Segmentation
Stars: ✭ 314 (+122.7%)
SalganSalGAN: Visual Saliency Prediction with Generative Adversarial Networks
Stars: ✭ 314 (+122.7%)
WsddnWeakly Supervised Deep Detection Networks (CVPR 2016)
Stars: ✭ 138 (-2.13%)
Tensorflow Image DetectionA generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.
Stars: ✭ 306 (+117.02%)
Image CaptioningImage Captioning: Implementing the Neural Image Caption Generator with python
Stars: ✭ 52 (-63.12%)
Chinese Ufldl Tutorial[UNMAINTAINED] 非监督特征学习与深度学习中文教程,该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程,该门课程在网易云课堂上也有一个配有中文字幕的版本。
Stars: ✭ 303 (+114.89%)
AwslambdafacePerform deep neural network based face detection and recognition in the cloud (via AWS lambda) with zero model configuration or tuning.
Stars: ✭ 98 (-30.5%)
KomputationKomputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.
Stars: ✭ 295 (+109.22%)
TrafficvisionMIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.
Stars: ✭ 52 (-63.12%)
Pytorch SrganA modern PyTorch implementation of SRGAN
Stars: ✭ 289 (+104.96%)
DrlnDensely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020
Stars: ✭ 120 (-14.89%)
Numpy ConvnetA small and pure Numpy Convolutional Neural Network library.
Stars: ✭ 50 (-64.54%)
Image Caption Generator[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
Stars: ✭ 141 (+0%)
BenderEasily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
Stars: ✭ 1,728 (+1125.53%)
Sparsenet[ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895
Stars: ✭ 127 (-9.93%)
Shiftresnet CifarResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch
Stars: ✭ 112 (-20.57%)
Micronetmicronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
Stars: ✭ 1,232 (+773.76%)
Frugally DeepHeader-only library for using Keras models in C++.
Stars: ✭ 719 (+409.93%)