Pinned Repositories
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Computer-Vision
Projects in Computer Vision
Dance-Recognition
Dance Recognition based on BoW for Cusco (Peru) dances
football-retrieval
Evaluation of features for football analysis based on graph representation
multi-stream-crowd-counting
Official implementation of "Where are the People? A Multi-Stream Convolutional Neural Network for Crowd Counting via Density Map from Complex Images" presented in IWSSIP 2019
multi-stream-crowd-counting-extended
Code for "Multi-Stream Networks and Ground-Truth Generation for Crowd Counting" presented in IJECES
npairs_loss_MAMC
Unofficial implementation of "n-pairs loss for the Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition" - ECCV 2018
pytorch-ACSCP
Unofficial implementation of "Crowd Counting via Adversarial Cross-Scale Consistency Pursuit" with pytorch - CVPR 2018
saliency-semantic-parsing-reid
Official implementation of "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models" IMAVIS 2019
top-dropblock
Official implementation of "Top Batch DropBlock for Person Re-Identification" ICPR 2020
RQuispeC's Repositories
RQuispeC/top-dropblock
Official implementation of "Top Batch DropBlock for Person Re-Identification" ICPR 2020
RQuispeC/pytorch-ACSCP
Unofficial implementation of "Crowd Counting via Adversarial Cross-Scale Consistency Pursuit" with pytorch - CVPR 2018
RQuispeC/saliency-semantic-parsing-reid
Official implementation of "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models" IMAVIS 2019
RQuispeC/multi-stream-crowd-counting-extended
Code for "Multi-Stream Networks and Ground-Truth Generation for Crowd Counting" presented in IJECES
RQuispeC/football-retrieval
Evaluation of features for football analysis based on graph representation
RQuispeC/Dance-Recognition
Dance Recognition based on BoW for Cusco (Peru) dances
RQuispeC/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
RQuispeC/CPproblemsSolved
Problems solved in competitive programming
RQuispeC/ByteTrack
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
RQuispeC/deepnet-features
Example of most classical deepnets for feature extraction
RQuispeC/deepspeed
RQuispeC/DeepSpeed-1
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
RQuispeC/devportfolio
My personal website
RQuispeC/docker-deep-learning-cu101
RQuispeC/FairMOT
A simple baseline for one-shot multi-object tracking
RQuispeC/fake-news
Simple fake news detector based on semantic similarity
RQuispeC/fun-with-allergies
RQuispeC/gitignore
A collection of useful .gitignore templates
RQuispeC/gudilin-n
Config files for my GitHub profile.
RQuispeC/humans-as-a-sensor-for-buildings
Implementation of the Humans-as-a-Sensor for Buildings paper.
RQuispeC/mo805-assignment7
RQuispeC/opacus
Training PyTorch models with differential privacy
RQuispeC/rquispec.github.io
RQuispeC/SOTS
Single object tracking and segmentation.
RQuispeC/template-tesis
Template para plan de tesis y tesis
RQuispeC/Towards-Realtime-MOT
Joint Detection and Embedding for fast multi-object tracking
RQuispeC/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
RQuispeC/vanshkapoor
RQuispeC/win-terminal-conf
my configuration for windows terminal
RQuispeC/XSum
Topic-Aware Convolutional Neural Networks for Extreme Summarization