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Universal and Transferable Attacks on Aligned Language Models
Lecture notes, projects and other materials for Course 'CS205 C/C++ Program Design' at Southern University of Science and Technology.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
CV算法岗知识点及面试问答汇总，主要分为计算机视觉、机器学习、图像处理和 C++基础四大块，一起努力向offers发起冲击！
LAVIS - A One-stop Library for Language-Vision Intelligence
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大模型提供更高质量、更丰富、更易”消化“的数据！
In-depth tutorials for implementing deep learning models on your own with PyTorch.
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
【三年面试五年模拟】AI算法工程师面试秘籍。涵盖AIGC、传统深度学习、自动驾驶、机器学习、计算机视觉、自然语言处理、SLAM、具身智能、元宇宙、AGI等AI行业面试笔试经验与干货知识。
Auto_Jobs_Applier_AI_Agent aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in an automated an…
Image-to-image translation with conditional adversarial nets
Collection of Summer 2025 tech internships!
[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
Collection of Summer 2025 tech internships!
Learning Chinese Character style with conditional GAN
Instant neural graphics primitives: lightning fast NeRF and more
A unified framework for 3D content generation.
一个计算机视觉、机器学习与深度学习相关的项目，看课程的笔记还有自己做的程序
《Machine Learning Systems: Design and Implementation》- Chinese Version
🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSy…
A resource repository for 3D machine learning
A brief computer graphics / rendering course
A toolkit for developing and comparing reinforcement learning algorithms.