zhu-renjie Goto Github PK

attention-transformer

Machine Translation（cn2en）

caltech101

Just my take with Transfer Learning on Caltech101 dataset using ResNet-50 Convolutional Neural Network.

caltech101-1

基于Caltech101，使用TensorFlow2.0训练并测试VGG16、ResNet50和DenseNet121的效果。

chinesenlp

Datasets, SOTA results of every fields of Chinese NLP

cifar10-tensorflow

cifar10数据集上进行图片分类，基于tensorflow框架，旨在探究不同的改进策略对分类准确率的影响，如何一步步得提高准确率

coursera

✅ Solutions to MachineLearning, DeepLearning, NeuralNetwork

curls-whey

The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch

cvpr2019-code

CVPR 2019 Paper with Code

cvpr2019-deeptreelearningforzeroshotfaceantispoofing

deeplearning

a notes for deeplearning

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[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning.ai-andrewng

deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

dl-hw3

CNN classifier for dataset Caltech 101

eccv2018-facedespoofing

eda_nlp

Data augmentation for NLP, presented at EMNLP 2019

exercise

exercise for nndl

fduthesis

LaTeX thesis template for Fudan University

first-project

gp-gan

Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

java-notes

一份面向Java初学者和初级工程师的知识点总结和面试题解析，着重关注面试中最常见的知识点。

javaguide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

models

Models and examples built with TensorFlow

multiturndialogzoo

Multi-turn dialogue baselines written in PyTorch

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nmt

TensorFlow Neural Machine Translation Tutorial

pytorch-cifar

95.16% on CIFAR10 with PyTorch