Top Deep Learning Top 200 deep learning Github repositories sorted by the number of stars.
Stars: ✭ 1,365 (+1097.37%)
Trending Deep LearningTop 100 trending deep learning repositories sorted by the number of stars gained on a specific day.
Stars: ✭ 543 (+376.32%)
Malware ClassificationTowards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
Stars: ✭ 88 (-22.81%)
IseebetteriSeeBetter: 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
Stars: ✭ 202 (+77.19%)
Cnn SvmAn Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
Stars: ✭ 170 (+49.12%)
Easy TensorflowSimple and comprehensive tutorials in TensorFlow
Stars: ✭ 2,871 (+2418.42%)
KomputationKomputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.
Stars: ✭ 295 (+158.77%)
EeglearnA set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
Stars: ✭ 469 (+311.4%)
Image Caption Generator[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
Stars: ✭ 141 (+23.68%)
TfvosSemi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.
Stars: ✭ 151 (+32.46%)
HdltexHDLTex: Hierarchical Deep Learning for Text Classification
Stars: ✭ 191 (+67.54%)
dl-reluDeep Learning using Rectified Linear Units (ReLU)
Stars: ✭ 20 (-82.46%)
RmdlRMDL: Random Multimodel Deep Learning for Classification
Stars: ✭ 375 (+228.95%)
Mead BaselineDeep-Learning Model Exploration and Development for NLP
Stars: ✭ 238 (+108.77%)
All Classifiers 2019A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.
Stars: ✭ 22 (-80.7%)
Machine Learning Curriculum💻 Make machines learn so that you don't have to struggle to program them; The ultimate list
Stars: ✭ 761 (+567.54%)
DeepseqslamThe Official Deep Learning Framework for Route-based Place Recognition
Stars: ✭ 49 (-57.02%)
TextclassifierText classifier for Hierarchical Attention Networks for Document Classification
Stars: ✭ 985 (+764.04%)
TrafficvisionMIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.
Stars: ✭ 52 (-54.39%)
Image CaptioningImage Captioning: Implementing the Neural Image Caption Generator with python
Stars: ✭ 52 (-54.39%)
Image Caption GeneratorA neural network to generate captions for an image using CNN and RNN with BEAM Search.
Stars: ✭ 126 (+10.53%)
Brain.jsbrain.js is a GPU accelerated library for Neural Networks written in JavaScript.
Stars: ✭ 12,358 (+10740.35%)
Rcnn Text ClassificationTensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)
Stars: ✭ 127 (+11.4%)
Coursera Deep Learning SpecializationNotes, 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
Stars: ✭ 188 (+64.91%)
Im2latex TensorflowTensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)
Stars: ✭ 207 (+81.58%)
DeepecgECG classification programs based on ML/DL methods
Stars: ✭ 124 (+8.77%)
pyradoxState of the Art Neural Networks for Deep Learning
Stars: ✭ 61 (-46.49%)
Awesome TensorlayerA curated list of dedicated resources and applications
Stars: ✭ 248 (+117.54%)
ZhihuThis repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
Stars: ✭ 3,307 (+2800.88%)
EchotorchA Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
Stars: ✭ 231 (+102.63%)
Gru Svm[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
Stars: ✭ 76 (-33.33%)
Deeplearning.aideeplearning.ai , By Andrew Ng, All video link
Stars: ✭ 625 (+448.25%)
Price prediction lobDeep learning for price movement prediction using high frequency limit order data
Stars: ✭ 27 (-76.32%)
DllFast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)
Stars: ✭ 605 (+430.7%)
Ml In TfGet started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!
Stars: ✭ 45 (-60.53%)
EmnistA project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.
Stars: ✭ 81 (-28.95%)
3d Reconstruction With Neural Networks3D reconstruction with neural networks using Tensorflow. See link for Video (https://www.youtube.com/watch?v=iI6ZMST8Ri0)
Stars: ✭ 71 (-37.72%)
TnnBiologically-realistic recurrent convolutional neural networks
Stars: ✭ 83 (-27.19%)
Deep PlantDeep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.
Stars: ✭ 66 (-42.11%)
Rcnn Relation ExtractionTensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction
Stars: ✭ 64 (-43.86%)
KerasrR interface to the keras library
Stars: ✭ 90 (-21.05%)
Mad TwinnetThe code for the MaD TwinNet. Demo page:
Stars: ✭ 99 (-13.16%)
ExermoteUsing Machine Learning to predict the type of exercise from movement data
Stars: ✭ 108 (-5.26%)