Stars
Implementation of the Point Transformer layer, in Pytorch
Fully featured implementation of Routing Transformer
Implementation of Transframer, Deepmind's U-net + Transformer architecture for up to 30 seconds video generation, in Pytorch
Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.
Implementation of a multimodal diffusion transformer in Pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
A minimalist environment for decision-making in autonomous driving
Crack LeetCode, not only how, but also why.
This is a workshop on implementing model predictive control (MPC) and moving horizon estimation (MHE) on Matlab. The implementation is based on the Casadi Package which is used for numerical optimi…
Python sample codes and textbook for robotics algorithms.
deep learning for image processing including classification and object-detection etc.