akashpatil-pixel32 Goto Github PK
Name: Akash Patil
Type: User
Company: Virginia Tech
Bio: Grad Student at Virginia Tech. DL/CV. Meta Learning, Self-Supervised Representation Learning.
Twitter: AkashPa94436421
Location: Blacksburg, VA
Akash Patil's Projects
image_captioning
Image captioning using Keras
machine_learning_techniques
ML methods
maml
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
maml-pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
meta-transfer-learning
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
pytorch-cyclegan-and-pix2pix
Image-to-Image Translation in PyTorch
show_and_tell
Show and Tell : A Neural Image Caption Generator
signal-processing-ml
Ecg signal processing and classification using ML
ssd-single-shot-multi-box-detector
Reproduced and confirmed the results from above research paper for course project.
stand-alone-self-attention-in-vision-models-
Reproduced and confirmed the results from above NIPS 2019 research paper for course project.
vt-natural-motion-processing
This repository was written to help analyze the Virginia Tech Natural Motion Dataset. The dataset contains 40 hours of unscripted human motion collected in the open world using XSens MVN Link. The zip files are available through Globus: https://bit.ly/2CoRvMa. The dataset metadata and more information is available through the Virginia Tech University Libraries: https://doi.org/10.7294/2V3W-SB92.
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