TnnBiologically-realistic recurrent convolutional neural networks
Stars: ✭ 83 (+25.76%)
Image Caption Generator[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
Stars: ✭ 141 (+113.64%)
Image CaptioningImage Captioning: Implementing the Neural Image Caption Generator with python
Stars: ✭ 52 (-21.21%)
Top Deep Learning Top 200 deep learning Github repositories sorted by the number of stars.
Stars: ✭ 1,365 (+1968.18%)
BrainforgeA Neural Networking library based on NumPy only
Stars: ✭ 114 (+72.73%)
Rcnn Relation ExtractionTensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction
Stars: ✭ 64 (-3.03%)
KomputationKomputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.
Stars: ✭ 295 (+346.97%)
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 (+4910.61%)
Machine Learning Curriculum💻 Make machines learn so that you don't have to struggle to program them; The ultimate list
Stars: ✭ 761 (+1053.03%)
Brain.jsbrain.js is a GPU accelerated library for Neural Networks written in JavaScript.
Stars: ✭ 12,358 (+18624.24%)
KerasrR interface to the keras library
Stars: ✭ 90 (+36.36%)
Image Caption GeneratorA neural network to generate captions for an image using CNN and RNN with BEAM Search.
Stars: ✭ 126 (+90.91%)
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 (+206.06%)
Easy TensorflowSimple and comprehensive tutorials in TensorFlow
Stars: ✭ 2,871 (+4250%)
Trending Deep LearningTop 100 trending deep learning repositories sorted by the number of stars gained on a specific day.
Stars: ✭ 543 (+722.73%)
Mead BaselineDeep-Learning Model Exploration and Development for NLP
Stars: ✭ 238 (+260.61%)
Awesome TensorlayerA curated list of dedicated resources and applications
Stars: ✭ 248 (+275.76%)
EeglearnA set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
Stars: ✭ 469 (+610.61%)
HdltexHDLTex: Hierarchical Deep Learning for Text Classification
Stars: ✭ 191 (+189.39%)
EmnistA project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.
Stars: ✭ 81 (+22.73%)
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 (+213.64%)
DeepseqslamThe Official Deep Learning Framework for Route-based Place Recognition
Stars: ✭ 49 (-25.76%)
Malware ClassificationTowards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
Stars: ✭ 88 (+33.33%)
Rcnn Text ClassificationTensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)
Stars: ✭ 127 (+92.42%)
DeepecgECG classification programs based on ML/DL methods
Stars: ✭ 124 (+87.88%)
Ml In TfGet started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!
Stars: ✭ 45 (-31.82%)
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 (+184.85%)
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 (+128.79%)
RmdlRMDL: Random Multimodel Deep Learning for Classification
Stars: ✭ 375 (+468.18%)
Price prediction lobDeep learning for price movement prediction using high frequency limit order data
Stars: ✭ 27 (-59.09%)
TextclassifierText classifier for Hierarchical Attention Networks for Document Classification
Stars: ✭ 985 (+1392.42%)
Predrnn PytorchOfficial implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.
Stars: ✭ 59 (-10.61%)
Eeg classificationEEG Sleep stage classification using CNN with Keras
Stars: ✭ 54 (-18.18%)
PointcnnPointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
Stars: ✭ 1,120 (+1596.97%)
SimplehtrHandwritten Text Recognition (HTR) system implemented with TensorFlow.
Stars: ✭ 1,072 (+1524.24%)
Gdax Orderbook MlApplication of machine learning to the Coinbase (GDAX) orderbook
Stars: ✭ 60 (-9.09%)
Tensorflow Lstm SinTensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction
Stars: ✭ 52 (-21.21%)
TrafficvisionMIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.
Stars: ✭ 52 (-21.21%)
Espnetv2 CoremlSemantic segmentation on iPhone using ESPNetv2
Stars: ✭ 66 (+0%)
Sign LanguageSign Language Recognition for Deaf People
Stars: ✭ 65 (-1.52%)
MinkowskiengineMinkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Stars: ✭ 1,110 (+1581.82%)