Pinned Repositories
Swift-On-Device-Leanring
A lightweight on-device learning framework for mobile edge devices.
ai_papers
AI Papers
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
awesome
:sunglasses: Curated list of awesome lists
Awesome-Contrastive-Learning
Awesome Contrastive Learning for CV & NLP
Awesome-Knowledge-Distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
Model_Compression_Paper
Quantization-Aware-Training-on-backpropagation
ReadingPaper_Daily
RobertLuobo's Repositories
RobertLuobo/awesome
:sunglasses: Curated list of awesome lists
RobertLuobo/Batch-Renormalization-PyTorch
Batch Renormalization module for PyTorch based on paper https://arxiv.org/abs/1702.03275 .
RobertLuobo/code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
RobertLuobo/DeepLearning-500-questions
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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
RobertLuobo/dlsys-course.github.io
Deep learning system course
RobertLuobo/ImageNet
This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
RobertLuobo/Optimal-Ternary-Weights-Approximation
Caffe implementation of Optimal-Ternary-Weights-Approximation in "Two-Step Quantization for Low-bit Neural Networks" (CVPR2018).
RobertLuobo/Pruned-MobileNet_v2
Apply the pruning strategy for MobileNet_v2
RobertLuobo/pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
RobertLuobo/pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)
RobertLuobo/Solutions-Stanford-cs131-Computer-Vision-Foundations-and-Application
Full solutions for fall1617 iteration of Stanford course CS131: Computer Vision Foundations and Applications
RobertLuobo/windy-afternoon
Gitbook based Blog, Android, Linux, Deep Learning, Computer Vision