Popular GitHub Repositories for Hut23 270

GPU Accelerated t-SNE for CUDA with Python bindings

[CoRL'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning

A growing curation of Text-to-3D, Diffusion-to-3D works.

Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013

Give a brain to your game's NPCs

List of recent advances for human avatars, including generation, reconstruction, and editing, etc.

A Flexible Deep Learning Approach to Fuzzy String Matching

Emulate simulations easily

Pits n' Giggles - F1 23/24/25 Live Telemetry Tool

[CoRL 2023] Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area - - Public code and model

An open source library for asynchronous querying of LLM endpoints

Information and materials for the Turing's "robots-in-disguise" reading group on fundamental AI research.

A Canine-Centric Social Media Platform for AI-Powered NFTs and Charitable Giving, Powered by Appwrite

Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23

Deep Learning model to detect and correct image orientation (0°, 90°, 180°, 270°) using a fine-tuned EfficientNetV2

Computed tomography (CT) is one of the most widely used radiography exams worldwide for different diagnostic applications. However, CT scans involve ioniz- ing radiational exposure, which raises health concerns. Counter-intuitively, low- ering the adequate CT dose level introduces noise and reduces the image quality, which may impact clinical diagnosis. This study analyzed the feasibility of using a conditional generative adversarial network (cGAN) called pix2pix to learn the mapping from low dose to high dose CT images under different conditions. This study included 270 three-dimensional (3D) CT scan images (85,050 slices) from 90 unique patients imaged virtually using virtual imaging trials platform for model development and testing. Performance was reported as peak signal-to-noise ra- tio (PSNR) and structural similarity index measure

A powerful heterogeneous tensor and heterogeneous range library for C++23.

Machine Learning models for IoT traffic malware detection. (Cybersecurity - Alma Mater Studiorum - University of Bologna)

Methodology for anomaly detection on multivariate streams using path signatures and the variance norm.