https://github.com/hsankesara/deepresearch

This repository is the collection of research papers in Deep learning, computer vision and NLP.
https://github.com/hsankesara/deepresearch

computer-vision deep-learning keras machine-learning nlp nueral-networks python3 research-paper

Last synced: 3 months ago
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This repository is the collection of research papers in Deep learning, computer vision and NLP.

• Host: GitHub
• URL: https://github.com/hsankesara/deepresearch
• Owner: Hsankesara
• License: mit
• Created: 2018-08-12T08:28:49.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2020-01-05T06:34:38.000Z (over 5 years ago)
• Last Synced: 2025-04-09T15:10:02.802Z (3 months ago)
• Topics: computer-vision, deep-learning, keras, machine-learning, nlp, nueral-networks, python3, research-paper
• Language: Python
• Homepage:
• Size: 241 MB
• Stars: 285
• Watchers: 14
• Forks: 106
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# DeepResearch

## What is DeepResearch

DeepResearch is the collection of new and prolific algorithms in the field of **Machine Learning**, **Deep Learning**, **Natural Language Processing** and **Computer Vision**. It contains the tutorial about the papers as well as their codes. The idea is that Artificial Intelligence is not the realm of researchers only. Even a beginner must be able to run a model without going through the whole trouble using complex libraries and get a feel of it.

## Papers

|Paper|Code|Tutorial|Any Other links|

|-----|----|--------|---------------|

|[Hierarchical Attention Networks](http://www.cs.cmu.edu/~./hovy/papers/16HLT-hierarchical-attention-networks.pdf)|[code](Hierarchical_Attention_Network/) |[Hierarchical Attention Networks](https://medium.com/@heetsankesara3/hierarchical-attention-networks-d220318cf87e) | [News Classification using HAN](https://www.kaggle.com/hsankesara/news-classification-using-han)|

|[Unet](https://arxiv.org/pdf/1505.04597.pdf)|[code](UNet/)|[UNet-Introducing Symmetry in Segmentation](https://towardsdatascience.com/u-net-b229b32b4a71)|[Unet- Image Segmentation](https://www.kaggle.com/hsankesara/unet-image-segmentation)|

|[Prototypical Networks](https://arxiv.org/pdf/1703.05175)|[code](Prototypical_Nets/)| [N-Shot Learning: Learning More with Less Data](https://blog.floydhub.com/n-shot-learning/)| [Kaggle Notebook](https://www.kaggle.com/hsankesara/prototypical-net/)|

## Project Manager

**[Heet Sankesara](https://github.com/Hsankesara)**

[](https://github.com/Hsankesara/)             [](https://www.linkedin.com/in/heet-sankesara-72383a152/)             [](https://twitter.com/TheSankesara)               [](https://www.kaggle.com/hsankesara)                [](https://medium.com/@heetsankesara3)