Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
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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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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.
Stars: ✭ 34 (+112.5%)
Tensorflow 101TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
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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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Food Recipe Cnnfood image to recipe with deep convolutional neural networks.
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Ner BertBERT-NER (nert-bert) with google bert https://github.com/google-research.
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Transfer Learning SuiteTransfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
Stars: ✭ 212 (+1225%)
SimpsonrecognitionDetect and recognize The Simpsons characters using Keras and Faster R-CNN
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Practical Machine Learning With PythonMaster the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
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Image To 3d BboxBuild a CNN network to predict 3D bounding box of car from 2D image.
Stars: ✭ 200 (+1150%)
Timeseries fastaifastai V2 implementation of Timeseries classification papers.
Stars: ✭ 221 (+1281.25%)
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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Triplet AttentionOfficial PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
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MoeFlowRepository for anime characters recognition website, powered by TensorFlow
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Grad Cam Tensorflowtensorflow implementation of Grad-CAM (CNN visualization)
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Pytorch Nlp NotebooksLearn how to use PyTorch to solve some common NLP problems with deep learning.
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PycaretAn open-source, low-code machine learning library in Python
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Pytorch RandaugmentUnofficial PyTorch Reimplementation of RandAugment.
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Cs231Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
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ArtificioDeep Learning Computer Vision Algorithms for Real-World Use
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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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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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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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neuralBlackA Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework
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Bert Sklearna sklearn wrapper for Google's BERT model
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Geospatial Machine LearningA curated list of resources focused on Machine Learning in Geospatial Data Science.
Stars: ✭ 289 (+1706.25%)
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.
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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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Assembled CnnTensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
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Pytorch VaeA CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
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Amazon Forest Computer VisionAmazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
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Fast PytorchPytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
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T81 558 deep learningWashington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
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RmdlRMDL: Random Multimodel Deep Learning for Classification
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TrainyourownyoloTrain a state-of-the-art yolov3 object detector from scratch!
Stars: ✭ 399 (+2393.75%)
Transformers TutorialsGithub repo with tutorials to fine tune transformers for diff NLP tasks
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XlearnTransfer Learning Library
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ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
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Computer VisionProgramming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
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ModelsgenesisOfficial Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019
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Mtcnn PytorchJoint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
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Music recommenderMusic recommender using deep learning with Keras and TensorFlow
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Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
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Breast cancer classifierDeep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
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SaliencyTensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques
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