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: about 2 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 (about 2 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)