Wav2letter.pytorchA fully convolution-network for speech-to-text, built on pytorch.
Stars: ✭ 104 (-93.58%)
AwslambdafacePerform deep neural network based face detection and recognition in the cloud (via AWS lambda) with zero model configuration or tuning.
Stars: ✭ 98 (-93.95%)
Shiftresnet CifarResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch
Stars: ✭ 112 (-93.08%)
GhostnetCV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.
Stars: ✭ 1,744 (+7.72%)
Cinc Challenge2017ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)
Stars: ✭ 112 (-93.08%)
YnetY-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images
Stars: ✭ 100 (-93.82%)
ConvncfExperimental codes for paper "Outer Product-based Neural Collaborative Filtering".
Stars: ✭ 118 (-92.71%)
DensepointDensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)
Stars: ✭ 110 (-93.21%)
SodAn Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
Stars: ✭ 1,460 (-9.82%)
Core50CORe50: a new Dataset and Benchmark for Continual Learning
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PythonmlArtificial neural network classes and tools in Python and TensorFlow.
Stars: ✭ 114 (-92.96%)
Ti PoolingTI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks
Stars: ✭ 119 (-92.65%)
Top Deep Learning Top 200 deep learning Github repositories sorted by the number of stars.
Stars: ✭ 1,365 (-15.69%)
LsuvinitReference caffe implementation of LSUV initialization
Stars: ✭ 99 (-93.89%)
Pytorch Dc TtsText to Speech with PyTorch (English and Mongolian)
Stars: ✭ 122 (-92.46%)
Har Keras CnnHuman Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras
Stars: ✭ 97 (-94.01%)
Cs231n Convolutional Neural Networks SolutionsAssignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.
Stars: ✭ 110 (-93.21%)
GrenadeDeep Learning in Haskell
Stars: ✭ 1,338 (-17.36%)
Style TransferA Keras Implementation of "A Neural Algorithm of Artistic Style"
Stars: ✭ 115 (-92.9%)
ProjectaiaiAiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charitable hospitals, and organizations like WHO 🌏 We will also release our pretrained models and weights as Medical Imagenet.
Stars: ✭ 92 (-94.32%)
Facedet实现常用基于深度学习的人脸检测算法
Stars: ✭ 109 (-93.27%)
Deep K Means Pytorch[ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"
Stars: ✭ 115 (-92.9%)
Mp Cnn TorchMulti-Perspective Convolutional Neural Networks for modeling textual similarity (He et al., EMNLP 2015)
Stars: ✭ 106 (-93.45%)
ContextConText v4: Neural networks for text categorization
Stars: ✭ 120 (-92.59%)
BrainforgeA Neural Networking library based on NumPy only
Stars: ✭ 114 (-92.96%)
Idn CaffeCaffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
Stars: ✭ 104 (-93.58%)
Lenet 5PyTorch implementation of LeNet-5 with live visualization
Stars: ✭ 122 (-92.46%)
Sigmoidal aiTutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
Stars: ✭ 103 (-93.64%)
DeepgazeComputer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
Stars: ✭ 1,552 (-4.14%)
Food101 CoremlA CoreML model which classifies images of food
Stars: ✭ 119 (-92.65%)
Antialiased Cnnspip install antialiased-cnns to improve stability and accuracy
Stars: ✭ 1,363 (-15.81%)
Sigver wiwdLearned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.
Stars: ✭ 112 (-93.08%)
Cutmixa Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
Stars: ✭ 99 (-93.89%)
DeepecgECG classification programs based on ML/DL methods
Stars: ✭ 124 (-92.34%)
Bayesian cnnBayes by Backprop implemented in a CNN in PyTorch
Stars: ✭ 98 (-93.95%)
Rul NetDeep learning approach for estimation of Remaining Useful Life (RUL) of an engine
Stars: ✭ 112 (-93.08%)
DeepwayThis project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.
Stars: ✭ 118 (-92.71%)
CnniqaCVPR2014-Convolutional neural networks for no-reference image quality assessment
Stars: ✭ 96 (-94.07%)
DrlnDensely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020
Stars: ✭ 120 (-92.59%)
DpedSoftware and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
Stars: ✭ 1,315 (-18.78%)
Incremental LearningPytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."
Stars: ✭ 92 (-94.32%)
All Conv KerasAll Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras
Stars: ✭ 115 (-92.9%)
Aaltd18Data augmentation using synthetic data for time series classification with deep residual networks
Stars: ✭ 124 (-92.34%)
HyperdensenetThis repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
Stars: ✭ 124 (-92.34%)
ExermoteUsing Machine Learning to predict the type of exercise from movement data
Stars: ✭ 108 (-93.33%)