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💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
List of papers about Proteins Design using Deep Learning
ramanarayan86 / CS6208_2023
Forked from xbresson/CS6208_2023Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A collection of resources and papers on Diffusion Models
📺 Discover the latest machine learning / AI courses on YouTube.
Machine learning is the study and development of data-driven strategies to enhance task performance. AI includes it.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Course content and resources for the AIAIART course.
All Algorithms implemented in Python
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Must-read papers on graph neural networks (GNN)
📕machine learning tech collections at Microsoft and subsidiaries.
[ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhangyang Wang
☁️ Build multimodal AI applications with cloud-native stack
carefree-ml implemented Machine Learning algorithms with numpy, mainly for educational use
A curated list of awesome Deep Learning tutorials, projects and communities.
Repository for LAFF-On Programming for High Performance
Official Repository of "Graph Mixture Density Networks" (ICML 2021)