Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Stanford Cs231 | 229 | 7 years ago | mit | Jupyter Notebook | ||||||
Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n). | ||||||||||
Yolo_resnet | 65 | 5 years ago | 6 | Jupyter Notebook | ||||||
Implementing YOLO using ResNet as the feature extraction network | ||||||||||
Pytorch Scholarship Challenge Notes | 55 | 5 years ago | mit | |||||||
My notes on PyTorch Scholarship Challenge [Phase 1] 2018/2019 | ||||||||||
Image Classifier | 53 | 6 years ago | mit | Jupyter Notebook | ||||||
Final Project of the Udacity AI Programming with Python Nanodegree | ||||||||||
Deep Learning Nd Exercises | 41 | 7 years ago | mit | Jupyter Notebook | ||||||
Notes and coding exercises from the various lessons in Udacity's Deep Learning Nanodegree Foundation | ||||||||||
Speed Prediction | 27 | 7 years ago | 3 | Jupyter Notebook | ||||||
Use 3D convolutional network to predict the speed of a car via dashcam stream. The final mean squared error on validation set is 3.1 (mile/hour)^2. | ||||||||||
Deep Learning | 21 | 6 years ago | Jupyter Notebook | |||||||
Projects and lessons on Deep Learning and Machine Learning | ||||||||||
Tf Semantic Segmentation Fcn Vgg16 | 19 | 7 years ago | 2 | Jupyter Notebook | ||||||
Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF | ||||||||||
Behavioralcloning For Self Driving Keras | 17 | 7 years ago | Jupyter Notebook | |||||||
Keras/Tensorflow Implementation of `End-to-End Learning for self-driving car (Nvidia)`. Spatial factorization is additionally implemented to reduce network size. | ||||||||||
Cluttered Mnist | 17 | 7 years ago | HTML | |||||||
Experiments on cluttered mnist dataset with Tensorflow. |