Jin Lin's Projects
use gpt-turbo-3.5 to evaluate abstractive summaries
This project focuses on predicting the prices of Bitcoins, the most in-demand cryptocurrency of today's world.
deep learning for image processing including classification and object-detection etc.
Deep Reinforcement Learning
LeNet been implement by using CIFAR10 Dataset.
A template repo for creating a new model
Natural Language Processing Tutorial for Deep Learning Researchers
The impact of the epidemic on people is reflected in all aspects of clothing, food, housing and transportation. In epidemic prevention and control, it is necessary to reduce unnecessary cluster activities and reduce the number of people participating in cluster activities. For individuals, try not to go to crowded places, especially closed places. In this competition, we need contestants to develop an algorithm model to identify the number of people in the figure. In order to simplify the difficulty of the competition, we only need the players to identify the number of people, and do not need to predict the position of pedestrians.
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
PyTorch Tutorial for Deep Learning Researchers
This is my Third_Year_project: Unsupervised Domain Adaptation for Object Detection
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors