pzwxingma's Stars
CyC2018/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
d2l-ai/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70多个国家的500多所大学用于教学。
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
apachecn/ailearning
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
fengdu78/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
AMAI-GmbH/AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
terryum/awesome-deep-learning-papers
The most cited deep learning papers
sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
fengdu78/lihang-code
《统计学习方法》的代码实现
nndl/nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
hindupuravinash/the-gan-zoo
A list of all named GANs!
eriklindernoren/Keras-GAN
Keras implementations of Generative Adversarial Networks.
fengdu78/Data-Science-Notes
数据科学的笔记以及资料搜集
lawlite19/MachineLearning_Python
机器学习算法python实现
DA-southampton/NLP_ability
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力
Sophia-11/Machine-Learning-Notes
周志华《机器学习》手推笔记
zzw922cn/Automatic_Speech_Recognition
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
DreamCats/java-notes
自己的学习笔记。包含:个人秋招经历、🐂客面经问题按照频率总结、Java一系列知识、数据库、分布式、微服务、前端、技术面试、每日文章等(持续更新)
fengdu78/machine_learning_beginner
机器学习初学者公众号作品
oneTaken/awesome_deep_learning_interpretability
深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)
Oldpan/Faceswap-Deepfake-Pytorch
Faceswap with Pytorch or DeepFake with Pytorch
snehitvaddi/Deep-Fake_First_Order_Model
This Repo consists of implementing First order motion model for making Deep Fakes. It is referenced from a video on youtube by Two Minute Papers about Deep Fakes. The code given by @AliaksandrSiarohin
aianaconda/TensorFlow2x_Engineering_Implementation