zhykoties's Stars
scutan90/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
google-research/bert
TensorFlow code and pre-trained models for BERT
0voice/interview_internal_reference
2023年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。
dutchcoders/transfer.sh
Easy and fast file sharing from the command-line.
jadore801120/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
jessevig/bertviz
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
facebookresearch/Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
higgsfield/RL-Adventure-2
PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
xinychen/latex-cookbook
LaTeX论文写作教程 (清华大学出版社)
harryzhangOG/Deep-RL-Notes
A collection of comprehensive notes on Deep Reinforcement Learning, customized for UC Berkeley's CS 285 (prev. CS 294-112)
qingsongedu/awesome-AI-for-time-series-papers
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
mims-harvard/TFC-pretraining
Self-supervised contrastive learning for time series via time-frequency consistency
wenhuchen/Table-Fact-Checking
Data and Code for ICLR2020 Paper "TabFact: A Large-scale Dataset for Table-based Fact Verification"
zhykoties/TimeSeries
Implementation of deep learning models for time series in PyTorch.
SimiaoZuo/Transformer-Hawkes-Process
Code for Transformer Hawkes Process, ICML 2020.
zhongpeixiang/AI-NLP-Paper-Readings
This is my reading list for my PhD in AI, NLP, Deep Learning and more.
UBCDingXin/improved_CcGAN
Continuous Conditional Generative Adversarial Networks (CcGAN)
nlpdata/mrc_bert_baseline
A BERT-Based Machine Reading Comprehension Baseline
andrewjong/GAN-Tricks-2020
My own list of modern GAN tricks I come across
hedixia/KernelTreelets_v5
hedixia/Treelet