Sadegh (sadegh-aa)

sadegh-aa

Geek Repo

Company:Microsoft

Location:United Kingdom

Home Page:https://sadegh-aa.github.io/

Twitter:@aa_sadegh

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Sadegh's repositories

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normalizing-flows-reproduce

Reproduction and extension of "Variational inference with normalizing flows"

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normalizing_flows

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

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3DDFA

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

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App7

league manager with local database

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caffe

Caffe: a fast open framework for deep learning.

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Deep3DFaceReconstruction

Deep3DFaceReconstruction

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DeepLearningImplementations

Implementation of recent Deep Learning papers

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denet

A simple extendable library for training and evaluating Deep Convolutional Neural Networks focussing on real-time image classification and detection.

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h36m-fetch

Human 3.6M 3D human pose dataset fetcher

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expense_manager

Multi-user web application for expense management.

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keras_gen_adv_net

generative adversarial networks in keras

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keras_Realtime_Multi-Person_Pose_Estimation

Keras version of Realtime Multi-Person Pose Estimation project

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multiagent-programmatic-supervision

PyTorch implementation of Generating Multi-Agent Trajectories using Programmatic Weak Supervision

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MUNIT

Multimodal Unsupervised Image-to-Image Translation

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OnlineStore

Online store example written with Python and Django

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PerceptualSimilarity

Learned Perceptual Image Patch Similarity (LPIPS) metric. In CVPR, 2018.

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pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

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StockAnalyzer

Analayzing and visualizing stock data (Python & Django)

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ted_talk_data

Using python and a crawling technique to get all statistical and textual information about all TED Talks of all times. This can be an starting point to work on audio, video, statistical, and textual analysis on a huge amount of data.

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UbuntuAppKivy

An example of GUI design with Python and Kivy

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under_convnet

Caffe code for the paper "Adversarial Manipulation of Deep Representations"

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Unity-Humanoid-Mocap-CSV

Use .csv files to record, play and evaluate motion capture data.

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