Pinned Repositories
AdaptationSeg
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
blstm-cws
blstm-cws : Bi-directional LSTM for Chinese Word Segmentation
chatgpt-on-wechat
cs.homework
cuBERT
Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
DeepLearning
dmm18-database
dmm18动画 数据库
cnnjqzr's Repositories
cnnjqzr/dmm18-database
dmm18动画 数据库
cnnjqzr/AdaptationSeg
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017
cnnjqzr/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
cnnjqzr/blstm-cws
blstm-cws : Bi-directional LSTM for Chinese Word Segmentation
cnnjqzr/chatgpt-on-wechat
cnnjqzr/cs.homework
cnnjqzr/cuBERT
Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL
cnnjqzr/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。
cnnjqzr/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
cnnjqzr/DeepLearning
cnnjqzr/DeepMoji
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
cnnjqzr/domain_adaptation
this project is the code of domain adaptation referenced by unsupervised domain adaptation by backpropagation(http://machinelearning.wustl.edu/mlpapers/paper_files/icml2015_ganin15.pdf).And i realized it on mnist.
cnnjqzr/Exercises
cnnjqzr/LearnPython
以撸代码的形式学习Python
cnnjqzr/LSTM_Final
cnnjqzr/practical-pytorch
PyTorch tutorials demonstrating modern techniques with readable code
cnnjqzr/Python_Learning
cnnjqzr/PythonLearning
Learning python from 0
cnnjqzr/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
cnnjqzr/rnn-theano
使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等
cnnjqzr/segrep-for-nn-semicrf
Code for Exploring Segment Representations for Neural Segmentation Models
cnnjqzr/show-me-the-code
Python 练习册，每天一个小程序
cnnjqzr/theano_lstm
:microscope: Nano size Theano LSTM module
cnnjqzr/transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
cnnjqzr/zhihu
知乎专栏源码