MITDeepLearning/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
- Stars
- 8.8k
- Forks
- 4.6k
- Open issues
- 54
- Last push
- 9mo ago
About introtodeeplearning
introtodeeplearning is a free, open-source AI voice and audio tool by MITDeepLearning, written mainly in Jupyter Notebook. Lab Materials for MIT 6.S191: Introduction to Deep Learning. It has 8.8k GitHub stars and 4.6k forks, and was last updated 9mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Jupyter Notebook
- Stars
- 8,847
- Last update
- 9mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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introtodeeplearning FAQ
Is introtodeeplearning free?
Yes. introtodeeplearning is open source and free to use. It's released under the MIT license, a standard open-source license.
Does introtodeeplearning run on a Mac?
Its README doesn't say. Check the installation guide on GitHub before you start.
Does introtodeeplearning need a GPU?
Its README doesn't state hardware needs. AI models generally run much faster with a GPU.
Is introtodeeplearning still maintained?
It was last updated 9mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to introtodeeplearning?
Similar free, open-source tools include transformers, Real-Time-Voice-Cloning, YuE, vosk-api.