Vivek Sharma (vivoutlaw)

vivoutlaw

Geek Repo

Company:MIT, Harvard

Location:Karlsruhe | Boston

Home Page:https://vivoutlaw.github.io/

Twitter:@vivoutlaw

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Vivek Sharma's repositories

SSIAM

Self-supervised Siamese network (SSiam), FG 2019

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tcbp

Temporal Compact Bilinear Pooling (TCBP)

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UDMA

Unsupervised Meta-Domain Adaptation for Fashion Retrieval

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siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

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speaker-diarization

Speaker diarization scripts, based on AaltoASR

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street2shop-dataset

Scripts for collecting Street2Shop fashion/clothing dataset

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tf_mesh_renderer

A differentiable, 3D mesh renderer using TensorFlow.

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DeepLearningZeroToAll

TensorFlow Basic Tutorial Labs

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DREAM

This is the public repository for our accepted CVPR 2018 paper "Pose-Robust Face Recognition via Deep Residual Equivariant Mapping"

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FINCH-Clustering

Source Code for FINCH Clustering Algorithm

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interviews

CS interview study sheet

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jsis3d

Joint Semantic-Instance Segmentation of 3D Point Clouds (CVPR 2019)

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lintel

A Python module to decode video frames directly, using the FFmpeg C API.

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may2021privacy.github.io

Home page for may2021privacy.github.io

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mvad-names-dataset

M-VAD Names Dataset. Multimedia Tools and Applications (2018)

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PASCAL_VOC_TO_NPZ

Convert any PASCAL VOC Annotated File to Numpy Zip Format to get Data Ready for Training YOLOV2 Object Recognition

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pix2pix

Image-to-image translation with conditional adversarial nets

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PlotNeuralNet

Latex code for making neural networks diagrams

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py-webrtcvad

Python interface to the WebRTC Voice Activity Detector

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pytorch-cifar

95.16% on CIFAR10 with PyTorch

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pytorch-kaldi

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

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PyTorchZeroToAll

Simple PyTorch Tutorials Zero to ALL!

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tensorpack

A Neural Net Training Interface on TensorFlow

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unsup_temp_embed

Official implementation of the paper: Unsupervised learning of action classes with continuous temporal embedding (CVPR'19)

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vision

Datasets, Transforms and Models specific to Computer Vision

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VQA

Visual Question Answering in PyTorch

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