Princesston's repositories
awesome-computer-vision
A curated list of awesome computer vision resources
awesome-deep-learning-papers
The most cited deep learning papers
awesome-deep-vision
A curated list of deep learning resources for computer vision
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Bayesian-Modelling-in-Python
A python tutorial on bayesian modeling techniques (PyMC3)
deep-learning-keras-tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
densenet.pytorch
A PyTorch implementation of DenseNet.
fb.resnet.torch
Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts
models
Models built with TensorFlow
NeuralBabyTalk
Pytorch code of for our CVPR 2018 paper "Neural Baby Talk"
pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
pytorch-cifar
95.16% on CIFAR10 with PyTorch
pytorch-classification
Classification with PyTorch.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
reinforcement-learning-an-introduction
Python implementation of Reinforcement Learning: An Introduction
Spoon-Knife
This repo is for demonstration purposes only.
stanford-tensorflow-tutorials
This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.
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 If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year).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.
TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners
tensorpack
A Neural Net Training Interface on TensorFlow