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am3

Adaptive Cross-Modal Few-shot learning OSS code

comp526

comp580

This is a study group for comp 580 - Probabilistic Algorithms and Data Structures

courseragoogleml

This is a repo for Machine Learning with TensorFlow on Google Cloud Platform on coursera

cs229

deep-learning

deep-learning-1

personal practice（个人练习，实现了深度学习中的一些算法，包括：四种初始化方法（zero initialize, random initialize, xavier initialize, he initialize），深度神经网络，正则化，dropout， 三种梯度下降方法(BGD, SGD, mini-batch)，六种优化算法(momentum、nesterov momentum、Adagrad、Adadelta、RMSprop、Adam)，梯度检验、batch normalization）、RNN

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

fewshotlearning

Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"

learnscala

machine-learning-interview-questions

This repository is to prepare for Machine Learning interviews.

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

matchingnetworks

An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf

neural-turing-machine

TensorFlow implementation of a Neural Turing Machine

neuralturingmachine

Tensorflow implementation of a Neural Turing Machine

ntm

TensorFlow implementation of Neural Turing Machines (NTM), with its application on one-shot learning (MANN)

ntm-one-shot

One-shot Learning with Memory-Augmented Neural Networks

ntm-one-shot-tf

One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow

ntm-tensorflow

"Neural Turing Machine" in Tensorflow

prototypical-networks

Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

prototypical-networks-for-few-shot-learning-pytorch

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

prototypical-networks-tensorflow

Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

self-driving-car

Udacity Self-Driving Car Engineer Nanodegree projects.

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

tf_cnnvis

CNN visualization tool in TensorFlow

visualizing_understanding_cnn_implementation

Implementation of Matthew D. Zeiler's Paper "Visualizing and Understanding Convolutional Neural Networks" [https://cs.nyu.edu/~fergus/papers/zeilerECCV2014.pdf]