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PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.
Analysis of recursion in C and Python for the Ackermann Function and Quicksort Algorithm.
An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.
Fully automated provisioning of AWS EC2 Spot Instances for Deep Learning workloads using Terraform.
PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"
This repo contains Anaconda environment.yml files for different deep learning frameworks (i.e. TensorFlow, PyTorch, Theano, etc.)
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