yuanqunyong's repositories

AdaBound

An optimizer that trains as fast as Adam and as good as SGD.

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awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

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conference_call_for_paper

2018-2019 International Conferences in Artificial Intelligence, Computer Vision and Image Processing

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Deep-Learning-Landscape

An (incomplete) overview of recent advances on Deep Learning Landscape

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delta_orthogonal_init_pytorch

Delta Orthogonal Initialization for PyTorch

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hessian

hessian in pytorch

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jan

Jan is an open source alternative to ChatGPT that runs 100% offline on your computer

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keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.

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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

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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 )

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Python-100-Days

Python - 100天从新手到大师

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PyTorch-AutoNEB

PyTorch AutoNEB implementation to identify minimum energy paths, e.g. in neural network loss landscapes

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resnet-in-tensorflow

Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.

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sonnet

TensorFlow-based neural network library

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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 If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year).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.

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swa

Stochastic Weight Averaging in PyTorch

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Switchable-Normalization

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

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tensorflow

Computation using data flow graphs for scalable machine learning

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tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

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tensorflow_with_latest_papers

Implementation of Newest RNN and Seq2Seq Features

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tensorlayer

TensorLayer: Deep Learning and Reinforcement Learning Library for Researcher and Engineer.

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tflearn

Deep learning library featuring a higher-level API for TensorFlow.

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the-art-of-command-line

Master the command line, in one page

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the-gan-zoo

A list of all named GANs!

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Virgilio

Your new Mentor for Data Science E-Learning.

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VisualizingLoss

Reproducing paper on visualization of loss functions

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