Name: YuLu
Type: User
Company: Hangzhou Innovation Institute, Beihang University
Bio: Postdoctor @ Hangzhou Innovation Institute, Beihang University;
DAMO Academy @ Alibaba Group;
Ph.D @ SIOM, Chinese Academy of Sciences;
Undergrad @ BJTU;
Location: Hangzhou, China
YuLu's Projects
Demo codes in our presentation about MXNet in AWS Seoul Summit 2017
cs231n assignments
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
Official Repository for "DrEureka: Language Model Guided Sim-To-Real Transfer"
Video-based Emotion Recognition Using Deeply-Supervised Neural Networks
Facial-Expression-Recognition in TensorFlow. Detecting faces in video and recognize the expression(emotion).
Classify each facial image into one of the seven facial emotion categories considered using CNN based on https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge
This code is using FER2013 dataset with keras library and tensorflow backend. This code was fork and modified for keras with tensorflow backend from https://github.com/LamUong/FacialExpressionRecognition
Fer2013 Facial Expression Recognition Keras
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Source code of paper "[NIPS2017] Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model"
Implementation of Image-based Relighting using Neural Networks, with Tensorflow
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
jrishabh96/Facial-Expression-Recognition
A Keras implementation of YOLOv3 (Tensorflow backend)
机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
Machine Learning Code to study machine learning algorithm
MVSNet (ECCV2018) & R-MVSNet (CVPR2019)
A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建,自动问答,基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱,并以该知识图谱完成自动问答与分析服务。
A real-time facial expression recognition system with webcam streaming and CNN
Tiny Face Detector, CVPR 2017
Keras implementation of yolo v3 object detection.