Pinned Repositories
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100-Days-Of-ML-Code
100 Days of ML Coding
1993wusai.github.io
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
awesome-cbir-papers
📝Awesome and classical image retrieval papers
pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
pytorch_learning
Seq2SeqWithAttention
treesql_sparc
xiaer1's Repositories
xiaer1/pytorch_learning
xiaer1/Seq2SeqWithAttention
xiaer1/treesql_sparc
xiaer1/-
xiaer1/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
xiaer1/awesome-cbir-papers
📝Awesome and classical image retrieval papers
xiaer1/blog
record blog
xiaer1/codeQueryTable
xiaer1/cs231n_assignment
xiaer1/csparc
xiaer1/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
xiaer1/deeplearning-models
A collection of various deep learning architectures, models, and tips
xiaer1/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
xiaer1/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
xiaer1/faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
xiaer1/gluon-cv
Gluon CV Toolkit
xiaer1/incubator-singa
Mirror of Apache Singa (Incubating)
xiaer1/insightface
Face Analysis Project on MXNet
xiaer1/interview
xiaer1/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。
xiaer1/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
xiaer1/NLPer-Interview
该仓库主要记录 NLP 算法工程师相关的面试题
xiaer1/OUCML
xiaer1/practicalAI
📚A practical approach to learning and using machine learning.
xiaer1/Python-100-Days
Python - 100天从新手到大师
xiaer1/pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
xiaer1/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
xiaer1/stanford-cs229
🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford
xiaer1/treesql-thesis
xiaer1/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow