Skip to content

Added two entries on 'dragon nets' related to DL and updated date modified. #31

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
femtas wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Added two entries on 'dragon nets' related to DL and updated date modified. #31

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 3 additions & 1 deletion README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
# Top Deep Learning Projects
A list of popular github projects related to deep learning (ranked by stars).

Last Update: 2019.08.15
Last Update: 2020.05.24

| Project Name | Stars | Description |
| ------- | ------ | ------ |
Expand Down Expand Up @@ -344,3 +344,5 @@ Last Update: 2019.08.15
|[DeepFace](https://github.com/RiweiChen/DeepFace)|1.3k|Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have…|
|[BerryNet](https://github.com/DT42/BerryNet)|1.3k|Deep learning gateway on Raspberry Pi and other edge devices|
|[pai](https://github.com/microsoft/pai)|1.2k|Resource scheduling and cluster management for AI|
|[Dragonnet](https://github.com/claudiashi57/dragonnet)|36|Adapting Neural Networks for the Estimation of Treatment Effects
|[DragoNN](https://kundajelab.github.io/dragonn)|216|Deep RegulAtory GenOmic Neural Networks (DragoNNs) for predictive modeling of regulatory genomics, nucleotide-resolution feature discovery, and simulations for systematic development and benchmarking.