achaiah

achaiah

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achaiah's repositories

MNIST_center_loss.pytorch

A Pytorch implementation of center loss on MNIST

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pytorch-semantic-segmentation

PyTorch for Semantic Segmentation

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AutoAugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

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binseg_pytoch

Implementation of several state of the art methods for Binary Segmentation in PyTorch

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boxx

Tool-box for efficient build and debug in Python. Especially for Scientific Computing and Computer Vision.

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cardiac-segmentation

Right Ventricle Cardiac MRI Segmentation

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CS231n-Convolutional-Neural-Networks-for-Visual-Recognition

In this repo you can find my solutions for both 2016 and 2017 assignments of the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

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deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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deep-learning-model-convertor

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

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DIGITS

Deep Learning GPU Training System

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drn

Dilated Residual Networks

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face-alignment

:fire: 2D and 3D Face alignment library build using pytorch

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GulpIO

Binary storage format for deep learning on videos.

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imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

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kaggle-carvana-image-masking-challenge

Kaggle - Carvana Image Masking Challenge - Code

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kaggle_carvana_segmentation

Code for a 1st place model in Carvana Image Masking Challenge

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lime

Lime: Explaining the predictions of any machine learning classifier

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ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

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mobilenetv2.pytorch

72.2% MobileNet V2 model on ImageNet with PyTorch Implementation

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python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

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pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

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pytorch-dpn-pretrained

Dual Path Networks (DPN) supporting pretrained weights converted from original MXNet implementation

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PyTorch-Multi-Style-Transfer

Neural Style and MSG-Net

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pytorch-ssim

pytorch structural similarity (SSIM) loss

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SSD-variants

PyTorch implementation of several SSD based object detection algorithms.

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stat479-machine-learning-fs18

Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison

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temperature_scaling

A simple way to calibrate your neural network.

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torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

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YellowFin

auto-tuning momentum SGD optimizer

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YellowFin_Pytorch

auto-tuning momentum SGD optimizer

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