Generative Inpainting PytorchA PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)
Stars: ✭ 242 (-90.9%)
Pix2pixhdSynthesizing and manipulating 2048x1024 images with conditional GANs
Stars: ✭ 5,553 (+108.84%)
Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Stars: ✭ 748 (-71.87%)
GpndGenerative Probabilistic Novelty Detection with Adversarial Autoencoders
Stars: ✭ 112 (-95.79%)
P2palaPage to PAGE Layout Analysis Tool
Stars: ✭ 147 (-94.47%)
SockeyeSequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
Stars: ✭ 990 (-62.77%)
Adversarial video generationA TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
Stars: ✭ 662 (-75.1%)
MganMasking GAN - Image attribute mask generation
Stars: ✭ 120 (-95.49%)
Nice Gan PytorchOfficial PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
Stars: ✭ 140 (-94.73%)
Edge ConnectEdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212
Stars: ✭ 2,163 (-18.65%)
TfmesosTensorflow in Docker on Mesos #tfmesos #tensorflow #mesos
Stars: ✭ 194 (-92.7%)
HnattTrain and visualize Hierarchical Attention Networks
Stars: ✭ 192 (-92.78%)
LearnopencvLearn OpenCV : C++ and Python Examples
Stars: ✭ 15,385 (+478.6%)
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 (-92.4%)
Focal Loss KerasBinary and Categorical Focal loss implementation in Keras.
Stars: ✭ 191 (-92.82%)
Conditional GanTensorflow implementation for Conditional Convolutional Adversarial Networks.
Stars: ✭ 202 (-92.4%)
Snn toolboxToolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
Stars: ✭ 187 (-92.97%)
Ml ExamplesArm Machine Learning tutorials and examples
Stars: ✭ 207 (-92.22%)
OnednnoneAPI Deep Neural Network Library (oneDNN)
Stars: ✭ 2,600 (-2.22%)
Halite IiSeason 2 of @twosigma's artificial intelligence programming challenge
Stars: ✭ 201 (-92.44%)
DraganA stable algorithm for GAN training
Stars: ✭ 189 (-92.89%)
Keras AcganAuxiliary Classifier Generative Adversarial Networks in Keras
Stars: ✭ 196 (-92.63%)
Triple GanSee Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN
Stars: ✭ 203 (-92.37%)
FreezedFreeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)
Stars: ✭ 195 (-92.67%)
Chanlun文件 笔和线段的一种划分.py,只需要把k线high,low数据输入,就能自动实现笔,线段,中枢,买卖点,走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难,有人说选股很容易,有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统,当你的影响可以被忽略,你才能实现,Jiang主席所谓之,闷声发大财。
Stars: ✭ 206 (-92.25%)
Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Stars: ✭ 202 (-92.4%)
Free Ai Resources🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
Stars: ✭ 192 (-92.78%)
Gan SandboxVanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.
Stars: ✭ 210 (-92.1%)
HdltexHDLTex: Hierarchical Deep Learning for Text Classification
Stars: ✭ 191 (-92.82%)
Tensorflow Deep LearningAll course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Stars: ✭ 170 (-93.61%)
GermanwordembeddingsToolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets
Stars: ✭ 189 (-92.89%)
Csa InpaintingCoherent Semantic Attention for image inpainting(ICCV 2019)
Stars: ✭ 202 (-92.4%)
MegalodonVarious ML/DL Resources organised at a single place.
Stars: ✭ 189 (-92.89%)
CocosnetCross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)
Stars: ✭ 211 (-92.06%)
Deep Survey Text ClassificationThe project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.
Stars: ✭ 187 (-92.97%)
ArtnetAppearance-and-Relation Networks
Stars: ✭ 201 (-92.44%)
PlotneuralnetLatex code for making neural networks diagrams
Stars: ✭ 14,316 (+438.4%)
OrionAsynchronous Distributed Hyperparameter Optimization.
Stars: ✭ 186 (-93%)
OneflowOneFlow is a performance-centered and open-source deep learning framework.
Stars: ✭ 2,868 (+7.86%)
NeuraletNeuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.
Stars: ✭ 200 (-92.48%)
KbganCode for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071
Stars: ✭ 186 (-93%)
Gan2shapeCode for GAN2Shape (ICLR2021 oral)
Stars: ✭ 183 (-93.12%)
Traffic Sign DetectionTraffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
Stars: ✭ 200 (-92.48%)
DefenseganDefense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
Stars: ✭ 184 (-93.08%)
Gan Weight NormCode for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"
Stars: ✭ 182 (-93.16%)
Colorizing With GansGrayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400
Stars: ✭ 209 (-92.14%)
Deep Mri ReconstructionDeep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo
Stars: ✭ 204 (-92.33%)
Neuralnetworks.thought ExperimentsObservations and notes to understand the workings of neural network models and other thought experiments using Tensorflow
Stars: ✭ 199 (-92.52%)
Sparse Evolutionary Artificial Neural NetworksAlways sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).
Stars: ✭ 182 (-93.16%)
Snli Entailmentattention model for entailment on SNLI corpus implemented in Tensorflow and Keras
Stars: ✭ 181 (-93.19%)