start-machine-learning-in-2020
internet-explorer
| start-machine-learning-in-2020 | internet-explorer | |
|---|---|---|
| 23 | 7 | |
| 1,426 | 160 | |
| - | 0.0% | |
| 6.3 | 2.4 | |
| over 2 years ago | about 1 year ago | |
| MIT License | - |
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.
start-machine-learning-in-2020
-
The most useful (and free) resources for learning AI + my tips & recommendations
A Complete Roadmap for Beginners in Machine Learning in 2021+ many valuable resources for any data scientist / AI workers or enthusiasts + how to stay up-to-date with news The complete article with all my tips: https://www.louisbouchard.ai/learnai/
-
I recently started fiddling around with GPT 3, and Iām looking for books that will help me on my journey. Any recommendations?
Here's the guide for machine learning with many interesting books: https://www.louisbouchard.ai/learnai
-
A Complete Roadmap for Beginners in Machine Learning with many valuable resources for any AI workers or enthusiasts + how to stay up-to-date with news
All the links on GitHub: https://github.com/louisfb01/start-machine-learning-in-2020
-
How to start learning AI?
You can follow this guide to learn ai from nothing for free : https://www.louisbouchard.ai/learnai
-
Barbershop: Try Different Hairstyles and Hair Colors from Pictures (GANs+)
Well I already have a guide I made for learning machine learning, but not GANs in particular. For machine learning in general and improve your skills you can check this out: https://www.louisbouchard.ai/learnai For GANs, i just read papers about it and implemented some, starting with pix2pix which was quite clear
-
Looking for Resources
The guide: https://www.louisbouchard.me/learnai
- A friendly approach to maths and coding in ML (2021-updated)
internet-explorer
- Internet Explorer: Targeted Representation Learning on the Open Web
-
[R] Internet Explorer: Targeted Representation Learning on the Open Web - Carnegie Mellon University Alexander C. Li et al 2023 - Trained on a single GPU for 40 hours and outperforms CLIP ResNet-50 that was trained on 4000 GPU hours!
Found relevant code at https://internet-explorer-ssl.github.io/ + all code implementations here
-
Internet Explorer: Targeted Representation Learning on the Open Web - Carnegie Mellon University Alexander C. Li et al 2023 - Trained on a single GPU for 40 hours and outperforms CLIP ResNet-50 that was trained on 4000 GPU hours!
Blog: https://internet-explorer-ssl.github.io/
-
CMU Researchers Introduce Internet Explorer: An AI Approach with Targeted Representation Learning on the Open Web
Quick Read: https://www.marktechpost.com/2023/03/08/cmu-researchers-introduce-internet-explorer-an-ai-approach-with-targeted-representation-learning-on-the-open-web/ Paper: https://arxiv.org/pdf/2302.14051.pdf Github: https://github.com/internet-explorer-ssl/internet-explorer
What are some alternatives?
PES-2021-Cheat-Table - Cheat Table for eFootball PES 2021
awesome-open-data-centric-ai - Curated list of open source tooling for data-centric AI on unstructured data.
projectlearn-project-based-learning - A curated list of project tutorials for project-based learning.
awesome-ai-awesomeness - A curated list of awesome awesomeness about artificial intelligence
nexify.io - Develop your skills with programming courses, explained step by step, to learn by building things.
awesome-artificial-intelligence-research - A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.
learn-monogame.github.io - Documentation to learn MonoGame from the ground up.
DataAug4Code - Source Code Data Augmentation for Deep Learning: A Survey.
Awesome-Black-Friday-Cyber-Monday-deals - š¢ 2023 Deals Live - Black Friday & Cyber Monday, Christmas & Holidays Deals for Developers, Techies, & Entrepreneurs,
human-memory - Course materials for Dartmouth course: Human Memory (PSYC 51.09)
computer-sciences - Code bites from Computer Sciences @ Politecnico di Torino
awesome-by-example - š A curated list of example-based learning resources.