Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch
Repositories
kyegomez repositories
Democratization of RT-2 "RT-2: New model translates vision and language into action"
Pytorch implementation of the models RT-1-X and RT-2-X from the paper: "Open X-Embodiment: Robotic Learning Datasets and RT-X Models"
Real-Time Training of a ViT Model
The official code for "Towards Generalist Foundation Model for Radiology".
My implementation of "Reinforced Self-Training (ReST) for Language Modeling"
Reaper is a simple polymorphic malware algorithm
Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch
Implementation of Deepmind's RoboCat: "Self-Improving Foundation Agent for Robotic Manipulation" An next generation robot LLM
Pytorch Implementation of Deepmind's SIMA: "Scaling Instructable Agents Across Many Simulated Worlds"
An exploration into leveraging SSM's as Bridge/Adapter Layers for VLM
My Implementation of "Straight Through Estimate" in pytorch
The Sonar Vision Mapping System is an advanced environmental mapping and visualization technology. It utilizes high-frequency sound pulses to create a real-time, three-dimensional map of an environment. This system is designed for applications in security, surveillance, and search-and-rescue operations.
Implementation of "Do As I Can, Not As I Say: Grounding Language in Robotic Affordances" by Google
Implementation of the ScreenAI model from the paper: "A Vision-Language Model for UI and Infographics Understanding"
A way to compare outputs from a foundation model based on different search criteria.
Official implementation of the paper "Segment Everything Everywhere All at Once"
Implementation of SelfExtend from the paper "LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning" from Pytorch and Zeta
Shadows of Other Worlds: Detecting Multiversal Interference in Quantum Measurements
Zeta implemantion of "Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers"