Rodolfo Quispe (RQuispeC)

RQuispeC

Geek Repo

Company:University of Campinas & Microsoft

Location:Greater Seattle Area

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

Github PK Tool:Github PK Tool


Organizations
microsoft

Rodolfo Quispe's repositories

top-dropblock

Official implementation of "Top Batch DropBlock for Person Re-Identification" ICPR 2020

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pytorch-ACSCP

Unofficial implementation of "Crowd Counting via Adversarial Cross-Scale Consistency Pursuit" with pytorch - CVPR 2018

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saliency-semantic-parsing-reid

Official implementation of "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models" IMAVIS 2019

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multi-stream-crowd-counting-extended

Code for "Multi-Stream Networks and Ground-Truth Generation for Crowd Counting" presented in IJECES

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football-retrieval

Evaluation of features for football analysis based on graph representation

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Dance-Recognition

Dance Recognition based on BoW for Cusco (Peru) dances

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fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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CPproblemsSolved

Problems solved in competitive programming

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ByteTrack

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

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deepnet-features

Example of most classical deepnets for feature extraction

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DeepSpeed-1

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

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devportfolio

My personal website

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FairMOT

A simple baseline for one-shot multi-object tracking

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fake-news

Simple fake news detector based on semantic similarity

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gitignore

A collection of useful .gitignore templates

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gudilin-n

Config files for my GitHub profile.

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humans-as-a-sensor-for-buildings

Implementation of the Humans-as-a-Sensor for Buildings paper.

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opacus

Training PyTorch models with differential privacy

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SOTS

Single object tracking and segmentation.

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template-tesis

Template para plan de tesis y tesis

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Towards-Realtime-MOT

Joint Detection and Embedding for fast multi-object tracking

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transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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win-terminal-conf

my configuration for windows terminal

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XSum

Topic-Aware Convolutional Neural Networks for Extreme Summarization

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