Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech! (by floodsung)
Real-Time-Voice-Cloning
Clone a voice in 5 seconds to generate arbitrary speech in real-time (by CorentinJ)
Our great sponsors
| Deep-Learning-Papers-Reading-Roadmap | Real-Time-Voice-Cloning | |
|---|---|---|
| 5 | 96 | |
| 37,120 | 50,652 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | about 1 month ago | |
| Python | Python | |
| - | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Deep-Learning-Papers-Reading-Roadmap
Posts with mentions or reviews of Deep-Learning-Papers-Reading-Roadmap.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-08.
-
[D] Resources for Understanding The Original Transformer Paper
https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap - This one is a bit dated so it doesn’t contain all of the papers that you need to read to get up to date but I think you should definitely read all of the papers in this list and implement as much as you can.
-
4 ML Roadmaps to Help You Find Useful Resources to Learn From
Deep Learning Papers Reading Roadmap
-
Should I implement every famous DL paper? [D]
I found a really great list of introductory and popular dl papers (github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap) and I would absolutely implement every paper on this list if I had the time (at least a mini version e.g. CIFAR10 instead of ImageNet). Is is essential for me to implement every single paper on that list to become a good DL researcher and to start reading/implementing more recent ones? All the papers on the list are from before 2017 and I can't wait to start exploring the latest research! Would I be able to get away with just implementing a handful of papers from that list?
-
[D] How did you implement papers with models that required a lot of GPUs to train?
I'm self-learning ML and trying to implement the papers listed here but I don't have access to hundreds of free GPUs like those corpos do.
-
Looking for Beginner CV Resources
Definitely check out this list https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap It's all papers, you should get used to reading scientific material.
Real-Time-Voice-Cloning
Posts with mentions or reviews of Real-Time-Voice-Cloning.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-12.
- FLaNK Stack Weekly 12 February 2024
- Voice Cloning
- Show HN: Real Time Voice Cloning – Instant DeepFake Audio
- Bu dakikadaki bahsedilen yapay zekayı bulamadım yardımcı olur musunuz?
- Alarming Rise of Voice Cloning Fraud Targeting the Elderly through AI
- Dark Brandon going hard
- Conselho do TRF-4 afasta juiz da Lava Jato
-
What Photoshop Can't Do, DragGAN Can! See How! Paper Explained, Along with Additional Supplementary Video Footage
Oh maybe it is available: https://github.com/CorentinJ/Real-Time-Voice-Cloning
-
Regarding recent posts about AI voice generation
I know this isn't the bulk of your argument, but if the concern is uploading, offline voice cloners have existed for years (albeit not as good as elevenlabs) but will presumably get far better in the years to come now that everyone has seen what's possible and as PC compute power continues to improve. https://github.com/CorentinJ/Real-Time-Voice-Cloning
- 'He Would Still Be Here': Man Dies by Suicide After Talking with AI Chatbot, Widow Says | The incident raises concerns about guardrails around quickly-proliferating conversational AI models.