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Linking pages
- DALL·E: Creating Images from Text https://openai.com/blog/dall-e/ 461 comments
- GitHub - cmhungsteve/Awesome-Transformer-Attention: An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites https://github.com/cmhungsteve/Awesome-Transformer-Attention 13 comments
- GitHub - louisfb01/best_AI_papers_2021: A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code. https://github.com/louisfb01/best_AI_papers_2021 9 comments
- GitHub - maziarraissi/Applied-Deep-Learning: Applied Deep Learning Course https://github.com/maziarraissi/Applied-Deep-Learning 6 comments
- GitHub - louisfb01/top-10-cv-papers-2021: A curated list of the top 10 computer vision papers in 2021 with video demos, articles, code and paper reference. https://github.com/louisfb01/top-10-cv-papers-2021 3 comments
- GitHub - akanimax/T2F: T2F: text to face generation using Deep Learning https://github.com/akanimax/T2F 2 comments
- GitHub - amrzv/awesome-colab-notebooks: Collection of google colaboratory notebooks for fast and easy experiments https://github.com/amrzv/awesome-colab-notebooks 0 comments
- GitHub - bbvanexttechnologies/tools-generation-detection-synthetic-content: Compilation of the state of the art of tools, articles, forums and links of interest to generate and detect any type of synthetic content using deep learning. https://github.com/bbvanexttechnologies/tools-generation-detection-synthetic-content 0 comments
- OpenAI and the road to text-guided image generation: DALL·E, CLIP, GLIDE, DALL·E 2 (unCLIP) | by Grigory Sapunov | Intento https://blog.inten.to/openai-and-the-road-to-text-guided-image-generation-dall-e-clip-glide-dall-e-2-unclip-c6e28f7194ea?gi=53c11ab07fab 0 comments
- GitHub - will-thompson-k/tldr-transformers: The "tl;dr" on a few notable transformer papers (pre-2022). https://github.com/will-thompson-k/tldr-transformers 0 comments
- GitHub - tomohideshibata/BERT-related-papers: BERT-related papers https://github.com/tomohideshibata/BERT-related-papers 0 comments
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