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 8 years ago
- Slides from various talks I gave☆18Updated 7 years ago
- ☆29Updated 8 years ago
- Least Squares GANs in Tensorflow☆17Updated 8 years ago
- ☆19Updated 6 years ago
- Implementation of the SAN model for imparting gender privacy to face images☆63Updated 4 years ago
- Direct C++ Interface to PyTorch☆81Updated 7 years ago
- Wide Residual Networks implemented in TensorLayer and TensorFlow.☆44Updated 9 years ago
- PyTorch C++ Extension Example☆15Updated 7 years ago
- ☆13Updated 7 years ago
- OpenCL Inference Engine for pytorch☆51Updated 7 years ago
- Automatically build the deep learning models with ENAS☆31Updated 7 years ago
- MXNet finetune baseline (res152) for iNaturalist Challenge at FGVC 2017☆30Updated 8 years ago
- Neural style transfer as a class in PyTorch☆35Updated 8 years ago
- Code for Class-Splitting Generative Adversarial Networks☆32Updated 8 years ago
- Compare outputs between layers written in Tensorflow and layers written in Pytorch☆72Updated 7 years ago
- Github repo for my experiments with the orthogonal convolution idea☆22Updated 8 years ago
- PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html☆57Updated 7 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 7 years ago
- Generalized Compressed Network Search with PyTorch☆26Updated 8 years ago
- Various implementations and experimentation for deep neural network model compression☆24Updated 7 years ago
- Semi-supervised tool for cleaning image dataset , using deep learning.☆75Updated 7 years ago
- Corrupted labels and label smoothing☆129Updated 8 years ago
- CNN Image Retrieval Model Weights Ported☆11Updated 7 years ago
- ☆22Updated 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 7 years ago
- [This project has moved to ChainerCV] Chainer Implementation of Fully Convolutional Instance-aware Semantic Segmentation☆43Updated 5 years ago
- A Keras inspired training utility for PyTorch☆38Updated 7 years ago
- SplitNet implemented based on ResNet-50 trained on ImageNet-22K☆16Updated 7 years ago
- Deep Learning using Rectified Linear Units (ReLU)☆22Updated last year