bobchennan / tricks-used-in-deep-learningLinks
Tricks used in deep learning. Including papers read recently.
☆16Updated 7 years ago
Alternatives and similar repositories for tricks-used-in-deep-learning
Users that are interested in tricks-used-in-deep-learning are comparing it to the libraries listed below
Sorting:
- Experiments with different loss functions for image classification☆20Updated 7 years ago
- ☆29Updated 8 years ago
- Implementation of the SAN model for imparting gender privacy to face images☆63Updated 4 years ago
- Slides from various talks I gave☆18Updated 6 years ago
- Deep Unsupervised Similarity Learning using Partially Ordered Sets (CVPR17)☆20Updated 4 years ago
- PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html☆57Updated 6 years ago
- Least Squares GANs in Tensorflow☆17Updated 8 years ago
- This is an example of how to train a MNIST network in Python and run it in c++ with pytorch 1.0☆96Updated 6 years ago
- Chainer implementation of Deepmind's Visual Attention Model paper☆27Updated 7 years ago
- A Tensorflow implementation of Representation Learning by Learning to Count☆107Updated 7 years ago
- Semi-supervised tool for cleaning image dataset , using deep learning.☆75Updated 7 years ago
- Repository for Transfer Learning using Deep CNNs trained with synthetic images☆16Updated 8 years ago
- Quick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.☆109Updated 5 years ago
- Compare outputs between layers written in Tensorflow and layers written in Pytorch☆72Updated 7 years ago
- Wide Residual Networks implemented in TensorLayer and TensorFlow.☆44Updated 8 years ago
- Prunable nn layers for pytorch.☆48Updated 7 years ago
- PyTorch C++ Extension Example☆15Updated 7 years ago
- Demonstration of using Caffe2 inside an Android application.☆68Updated 6 years ago
- ☆57Updated 7 years ago
- [This project has moved to ChainerCV] Chainer Implementation of Fully Convolutional Instance-aware Semantic Segmentation☆43Updated 5 years ago
- Dilated DenseNets☆15Updated 7 years ago
- A tensorflow implementation of Fully Convolutional Networks For Semantic Segmentation☆13Updated 8 years ago
- ☆22Updated 8 years ago
- Tensorflow implementation of CRF-RNN☆13Updated 8 years ago
- A collection of Deep Learning papers I read, sorted by category.☆9Updated 6 years ago
- Deep Learning using Rectified Linear Units (ReLU)☆22Updated last year
- Corrupted labels and label smoothing☆129Updated 7 years ago
- Extending Keras to support tfrecord dataset☆61Updated 8 years ago
- nyu-cv-fall-2017 assignment 3☆51Updated 6 years ago
- Chainer squeezenet model☆24Updated 9 years ago