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Python
Created almost 6 years ago
Updated almost 2 years ago

ppriyank

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Pytorch Implementation of Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods

Video-Action-Transformer-Network-Pytorch-

Implementation of the paper Video Action Transformer Network

Python

134

Video-Person-Re-ID-Fantastic-Techniques-and-Where-to-Find-Them

Official Pytorch Implementation of our paper: Video Person Re-ID : Fantastic Techniques and Where to Find Them

Python

Pytorch-CustomDataset-FasterRCNN

Pytorch based FasterRCNN for custom dataset

Python

Prince-Set-UP

NYU Prince set up

Bert-Coref-Resolution-Lee-

Coreference Model Experimentation (Tensorflow and Pytorch) : Mainly Using transfer learning and Transformer Model BERT

Python

-Online-Soft-Mining-and-Class-Aware-Attention-Pytorch

(Pytorch and Tensorflow) Implementation of Weighted Contrastive Loss (Deep Metric Learning by Online Soft Mining and Class-Aware Attention)

Python

Pytorch-Additive_Margin_Softmax_for_Face_Verification

Pytorch Implementation of AMSoftmax

Python

Fine-grained-Re-Identification

Code for our paper Fine-Grained Re-Identification

Python

Object-Detection-Custom-Dataset-pytorch

Training object detection on custom dataset

Python

NYU-Singularity

MicronNet

MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification

Jupyter Notebook

Pytorch-Zero-Shot-Person-Re-identification-via-Cross-View-Consistency

Slightly Tweaked implementation of the Zero-Shot Person Re-identification via Cross-View Consistency in Pytorch

Python

Adveserial-Attacks

Jupyter Notebook

ppriyank/Deep-neural-network-for-traffic-sign-recognition-systems

ppriyank

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