yuanqunyong's repositories
jan
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer
the-gan-zoo
A list of all named GANs!
the-art-of-command-line
Master the command line, in one page
Python-100-Days
Python - 100天从新手到大师
Virgilio
Your new Mentor for Data Science E-Learning.
AdaBound
An optimizer that trains as fast as Adam and as good as SGD.
PyTorch-AutoNEB
PyTorch AutoNEB implementation to identify minimum energy paths, e.g. in neural network loss landscapes
hessian
hessian in pytorch
conference_call_for_paper
2018-2019 International Conferences in Artificial Intelligence, Computer Vision and Image Processing
loss-visualization
This project is to visualize the loss landscape of neural networks. This project uses a CAFFE saved model for visualizing the loss landscape
swa
Stochastic Weight Averaging in PyTorch
Switchable-Normalization
Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779
Deep-Learning-Landscape
An (incomplete) overview of recent advances on Deep Learning Landscape
delta_orthogonal_init_pytorch
Delta Orthogonal Initialization for PyTorch
tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
resnet-in-tensorflow
Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.
awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
VisualizingLoss
Reproducing paper on visualization of loss functions
OthogonalWN
This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonality constraints over Steifel manifold in deep neural networks (arXiv:1709.06079 )
state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
tensorlayer
TensorLayer: Deep Learning and Reinforcement Learning Library for Researcher and Engineer.
keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
tensorflow
Computation using data flow graphs for scalable machine learning
tflearn
Deep learning library featuring a higher-level API for TensorFlow.
sonnet
TensorFlow-based neural network library
tensorflow_with_latest_papers
Implementation of Newest RNN and Seq2Seq Features