best_AI_papers_2023
A curated list of the latest breakthroughs in AI (in 2023) with video explanations, articles, and code.
GraphCanon updated 3w · GitHub synced 3w
Decision brief
best_AI_papers_2023 compiles AI research papers with video explanations, in-depth articles, and code links for advanced learning.
Good fit when
- When deep insights into recent AI advancements are needed with structured resources
- To stay updated on diverse areas of AI like computer vision, NLP, and machine learning
Avoid when
- If looking for real-time interactive support or forums within the repository itself
- For quick snippets or summaries without deeper links to code or articles
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
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- Dormant (950d since push)
- As of 3w
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- As of 3w
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git clone https://github.com/louisfb01/best_AI_papers_2023Similar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
This repository compiles recently published papers detailing advancements across various domains within AI research, including computer vision, machine learning, NLP, and generative AI. Each entry includes a video presentation, a deeper read article, and links to associated code or resources if applicable.
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 1, 2026)
saw the uprising of generative AI for both images and text, most recently with ChatGPT. Now, within the first week of 2023, researchers have already created a new sysSource link
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README
2023: The best AI papers - A Review 🚀
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code.
With the creation of a whole new field called "Generative AI", whether you like the term or not, research hasn't slowed its frenetic pace, especially the industry, which has seen its biggest boom in implementation of AI technologies ever. Artificial intelligence and our understanding of the human brain and its link to AI are constantly evolving, showing promising applications improving our life's quality in the near future. Still, we ought to be careful with which technology we choose to apply.
"Science cannot tell us what we ought to do, only what we can do."
- Jean-Paul Sartre, Being and Nothingness
Here's curated list of the latest breakthroughs in AI and Data Science by release date with a clear video explanation, link to a more in-depth article, and code (if applicable). Enjoy the read!
The complete reference to each paper is listed at the end of this repository. Star this repository to stay up to date and stay tuned for next year! ⭐️
Maintainer: louisfb01, also active on YouTube and as a Podcaster if you want to see/hear more about AI!
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Feel free to message me any interesting paper I may have missed to add to this repository.
Tag me on Twitter @Whats_AI or LinkedIn @Louis (What's AI) Bouchard if you share the list! And come chat with us in our Learn AI Together Discord community!
👀 If you'd like to support my work, you can check to Sponsor this repository or support me on Patreon.
Watch a complete 2023 rewind in 13 minutes
The Full List
- Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers [1]
- InstructPix2Pix: Learning to Follow Image Editing Instructions [2]
- MusicLM: Generating Music From Text [3]
- Structure and Content-Guided Video Synthesis with Diffusion Models [4]
- PaLM-E: An Embodied Multimodal Language Model [5]
- Segment Anything [6]
- Key-Locked Rank One Editing for Text-to-Image Personalization [7]
- Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold [8]
- Neuralangelo: High-Fidelity Neural Surface Reconstruction [9]
- TryOnDiffusion: A Tale of Two UNets [10]
- StyleGANEX: StyleGAN-Based Manipulation Beyond Cropped Aligned Faces [11]
- 3D-LLM: Injecting the 3D World into Large Language Models [12]
- METAGPT: META PROGRAMMING FOR MULTI-AGENT COLLABORATIVE FRAMEWORK [13]
- Visual Instruction Tuning [14]
- MVDream: Multi-view Diffusion for 3D Generation [15]
- Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling [16]
- Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets[17]
- Paper references
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers [1]
Last year we saw the uprising of generative AI for both images and text, most recently with ChatGPT. Now, within the first week of 2023, researchers have already created a new system for audio data called VALL-E.
VALL-E is able to imitate someone’s voice with only a 3-second recording with higher similarity and speech naturalness than ever before. ChatGPT is able to imitate a human writer; VALL-E does
For agents
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