Cs231Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
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Tensorflow 101TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
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Music recommenderMusic recommender using deep learning with Keras and TensorFlow
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DeeppicarDeep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor
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Keras Faster RcnnFaster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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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 (+4987.69%)
Computer VisionProgramming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
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All Classifiers 2019A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.
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Brain Tumor Segmentation KerasKeras implementation of the multi-channel cascaded architecture introduced in the paper "Brain Tumor Segmentation with Deep Neural Networks"
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Triplet AttentionOfficial PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
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Source separationDeep learning based speech source separation using Pytorch
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Pytorch Image ClassificationTutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
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Stanford Cs231Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).
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T81 558 deep learningWashington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
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Tensorflow BookAccompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
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Cat Dog Cnn ClassifierThis classifier use Convolution Neural Network approch for kaggle problem to classify Cat vs Dog images.
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Deep Visual Attention PredictionKeras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.
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Traffic Sign ClassifierUdacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier
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Plaquebox PaperRepo for Tang et al, bioRxiv 454793 (2018)
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Keras SincnetKeras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)
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Web SynthA web-based sound synthesis, music production, and audio experimentation platform
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TfwssWeakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).
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Keras model compressionModel Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"
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Image To 3d BboxBuild a CNN network to predict 3D bounding box of car from 2D image.
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Grad Cam Tensorflowtensorflow implementation of Grad-CAM (CNN visualization)
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Traffic Sign DetectionTraffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
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ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
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PbaEfficient Learning of Augmentation Policy Schedules
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Food Recipe Cnnfood image to recipe with deep convolutional neural networks.
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Mtcnn PytorchJoint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
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Build OcrBuild an OCR for iOS apps
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FssgiExploratory Project on Fast Screen Space Global Illumination
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SincnetSincNet is a neural architecture for efficiently processing raw audio samples.
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Dl Workshop SeriesMaterial used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
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Caffenet BenchmarkEvaluation of the CNN design choices performance on ImageNet-2012.
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Svhn CnnGoogle Street View House Number(SVHN) Dataset, and classifying them through CNN
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Computervision RecipesBest Practices, code samples, and documentation for Computer Vision.
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YannThis toolbox is support material for the book on CNN (http://www.convolution.network).
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Pytorch VaeA CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
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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
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SaliencyTensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques
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Teacher Student TrainingThis repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.
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Convisualize nbVisualisations for Convolutional Neural Networks in Pytorch
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Cnn graphConvolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
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