ServenetService Classification based on Service Description
Stars: ✭ 21 (-68.66%)
Deej A.i.Create automatic playlists by using Deep Learning to *listen* to the music
Stars: ✭ 57 (-14.93%)
DltDeep Learning Toolbox for Torch
Stars: ✭ 20 (-70.15%)
KalasalingamIEEE "Invited Talk on Deep Learning" 03/02/2018
Stars: ✭ 13 (-80.6%)
Text classificationall kinds of text classification models and more with deep learning
Stars: ✭ 7,179 (+10614.93%)
SrrescganCode repo for "Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution" (CVPRW NTIRE2020).
Stars: ✭ 44 (-34.33%)
Ag CnnThis is a reimplementation of AG-CNN. ("Thorax Disease Classification with Attention Guided Convolutional Neural Network","Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification")
Stars: ✭ 27 (-59.7%)
The Incredible PytorchThe Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Stars: ✭ 8,584 (+12711.94%)
Tf Keras SurgeonPruning and other network surgery for trained TF.Keras models.
Stars: ✭ 25 (-62.69%)
LudwigData-centric declarative deep learning framework
Stars: ✭ 8,018 (+11867.16%)
Concise Ipython Notebooks For Deep LearningIpython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
Stars: ✭ 23 (-65.67%)
GcommandspytorchConvNets for Audio Recognition using Google Commands Dataset
Stars: ✭ 65 (-2.99%)
Dm HaikuJAX-based neural network library
Stars: ✭ 1,010 (+1407.46%)
Pytorch GatMy implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
Stars: ✭ 908 (+1255.22%)
Lpips PytorchA simple and useful implementation of LPIPS.
Stars: ✭ 58 (-13.43%)
Torch ScanUseful information about PyTorch modules (FLOPs, MACs, receptive field, etc.)
Stars: ✭ 41 (-38.81%)
Face RecognitionFace Recognition Using Keras/tensorflow coupled with Node.js Server
Stars: ✭ 16 (-76.12%)
Global Self Attention NetworkA Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks
Stars: ✭ 64 (-4.48%)
KurDescriptive Deep Learning
Stars: ✭ 811 (+1110.45%)
FullstackmachinelearningMostly free resources for end-to-end machine learning engineering, including open courses from CalTech, Columbia, Berkeley, MIT, and Stanford (in alphabetical order).
Stars: ✭ 39 (-41.79%)
Quickdraw Implementation of Quickdraw - an online game developed by Google
Stars: ✭ 805 (+1101.49%)
Ca NetCode for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.
Stars: ✭ 56 (-16.42%)
Chatbot cn基于金融-司法领域(兼有闲聊性质)的聊天机器人,其中的主要模块有信息抽取、NLU、NLG、知识图谱等,并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口
Stars: ✭ 791 (+1080.6%)
Deep demosaickIterative Residual Network for Deep Joint Image Demosaicking and Denoising
Stars: ✭ 66 (-1.49%)
Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Stars: ✭ 748 (+1016.42%)
TextclassifierText classifier for Hierarchical Attention Networks for Document Classification
Stars: ✭ 985 (+1370.15%)
EmopyA deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)
Stars: ✭ 744 (+1010.45%)
Time AttentionImplementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
Stars: ✭ 52 (-22.39%)
Dl 4 TscDeep Learning for Time Series Classification
Stars: ✭ 730 (+989.55%)
Constrained attention filter(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks
Stars: ✭ 36 (-46.27%)
MaestroAn analytical cost model evaluating DNN mappings (dataflows and tiling).
Stars: ✭ 35 (-47.76%)
Matlab GanMATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN
Stars: ✭ 63 (-5.97%)
Yolo Tf2yolo(all versions) implementation in keras and tensorflow 2.4
Stars: ✭ 695 (+937.31%)
Channel PruningChannel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
Stars: ✭ 979 (+1361.19%)
TiramisuA polyhedral compiler for expressing fast and portable data parallel algorithms
Stars: ✭ 685 (+922.39%)
SerranoA Swift deep learning library with Accelerate and Metal support.
Stars: ✭ 50 (-25.37%)
SkaterPython Library for Model Interpretation/Explanations
Stars: ✭ 973 (+1352.24%)
TorchsdeDifferentiable SDE solvers with GPU support and efficient sensitivity analysis.
Stars: ✭ 678 (+911.94%)
NeupyNeuPy is a Tensorflow based python library for prototyping and building neural networks
Stars: ✭ 670 (+900%)
GtsrbConvolutional Neural Network for German Traffic Sign Recognition Benchmark
Stars: ✭ 65 (-2.99%)
PointcnnPointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
Stars: ✭ 1,120 (+1571.64%)
DeepseqslamThe Official Deep Learning Framework for Route-based Place Recognition
Stars: ✭ 49 (-26.87%)
Fed AttAttentive Federated Learning for Private NLM
Stars: ✭ 34 (-49.25%)
Adversarial video generationA TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
Stars: ✭ 662 (+888.06%)
SeganSpeech Enhancement Generative Adversarial Network in TensorFlow
Stars: ✭ 661 (+886.57%)
Dl Colab NotebooksTry out deep learning models online on Google Colab
Stars: ✭ 969 (+1346.27%)
SaliencyTensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques
Stars: ✭ 648 (+867.16%)
MnnMNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
Stars: ✭ 6,284 (+9279.1%)
Bass NetBand-Adaptive Spectral-Spatial Feature Learning Deep Neural Network for Hyperspectral Image Classification
Stars: ✭ 49 (-26.87%)
FfdlFabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes
Stars: ✭ 640 (+855.22%)
Speech Emotion AnalyzerThe neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
Stars: ✭ 633 (+844.78%)
DensedepthHigh Quality Monocular Depth Estimation via Transfer Learning
Stars: ✭ 963 (+1337.31%)