Pinned Repositories
ComputerOrganizationLab
Computer Organization 2023Fall
Connect4
AI agent capable of playing connect four game, IAI course project, 2024 spring. Achieved a 98% win rate on test set.
count_token_optimization
cs-self-learning
计算机自学指南
DeepSeek-R1-Errors
drl-hw
UCB CS285: Deep Reinforcement Learning
LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
malloclab
ICS course
misaligned_RGB-IR_detection
Misaligned RGB-Infrared Object Detection via Adaptive Dual-discrepancy Calibration
Tree-Diagram
4-issue out-of-order CPU, homework for computer organization course, THU CST 23Fall
guanning03's Repositories
guanning03/Tree-Diagram
4-issue out-of-order CPU, homework for computer organization course, THU CST 23Fall
guanning03/ComputerOrganizationLab
Computer Organization 2023Fall
guanning03/Connect4
AI agent capable of playing connect four game, IAI course project, 2024 spring. Achieved a 98% win rate on test set.
guanning03/count_token_optimization
guanning03/cs-self-learning
计算机自学指南
guanning03/DeepSeek-R1-Errors
guanning03/drl-hw
UCB CS285: Deep Reinforcement Learning
guanning03/LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
guanning03/malloclab
ICS course
guanning03/misaligned_RGB-IR_detection
Misaligned RGB-Infrared Object Detection via Adaptive Dual-discrepancy Calibration
guanning03/ml-jointnet
guanning03/ML_DL_CV_with_pytorch
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
guanning03/MMDiT
guanning03/octo-baseline
guanning03/Open-Sora-Plan
This project aim to reproduce Sora (Open AI T2V model), but we only have limited resource. We deeply wish the all open source community can contribute to this project.
guanning03/open_x_embodiment
guanning03/os-lectures
2023年春季OS课程Slides
guanning03/ProbEn
guanning03/REKCARC-TSC-UHT
清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University
guanning03/robot-transformer
guanning03/thuhole_memories
guanning03/UDAT
The alignment of feature distributions between visible and thermal domains is crucial for achieving effective object detection. Our proposed adaptive detector, integrated into the faster R-CNN architecture, tackles the domain shift problem and enhances overall performance. Experimental evaluations are demonstrated on the KAIST and FLIR ADAS dataset