hzg456's Stars
jackfrued/Python-100-Days
Python - 100天从新手到大师
geekxh/hello-algorithm
🌍 针对小白的算法训练 | 包括四部分:①.大厂面经 ②.力扣图解 ③.千本开源电子书 ④.百张技术思维导图(项目花了上百小时,希望可以点 star 支持,🌹感谢~)推荐免费ChatGPT使用网站
google-research/google-research
Google Research
NLP-LOVE/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
xianhu/LearnPython
以撸代码的形式学习Python
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
ccfddl/ccf-deadlines
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
d2l-ai/berkeley-stat-157
Homepage for STAT 157 at UC Berkeley
MLNLP-World/DeepLearning-MuLi-Notes
Notes about courses Dive into Deep Learning by Mu Li
Sakura-gh/ML-notes
notes about machine learning
fastnlp/fastNLP
fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
schrodingercatss/tuning_playbook_zh_cn
一本系统地教你将深度学习模型的性能最大化的战术手册。
fendouai/PyTorchDocs
PyTorch 官方中文教程包含 60 分钟快速入门教程,强化教程,计算机视觉,自然语言处理,生成对抗网络,强化学习。欢迎 Star,Fork!
modAL-python/modAL
A modular active learning framework for Python
Iallen520/lhy_DL_Hw
ZhuiyiTechnology/pretrained-models
Open Language Pre-trained Model Zoo
dvlab-research/DeepUPE
Underexposed Photo Enhancement Using Deep Illumination Estimation
dengxiuqi/WeiboSentiment
基于各种机器学习和深度学习的中文微博情感分析
allenai/acl2018-semantic-parsing-tutorial
Materials from the ACL 2018 tutorial on neural semantic parsing
jeykigung/P5
yangsoon/cpptest
C++学习笔记 包括 侯捷讲解的系列CPP课程以及UNP、APUE等
msmsajjadi/FRVSR
Frame-Recurrent Video Super-Resolution (official repository)
KwangKa/SIMCSE_unsup
中文无监督SimCSE Pytorch实现
PlaytikaOSS/tft-torch
A Python library that implements ״Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting״
csLinZhang/CVBook
计算机视觉导论配套网站
aryan-jadon/Regression-Loss-Functions-in-Time-Series-Forecasting-Tensorflow
This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow. We have compared 14 regression loss functions performance on 4 different datasets.
JinshuChen/MOGAN
amanchadha/FRVSR-GAN
A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs
Junshk/FRVSR
Unofficial Implementation of FRVSR (CVPR 2018)