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computing-intelligence / ai-edu
Forked from microsoft/ai-eduAI education materials for Chinese students, teachers and IT professionals.
中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard
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,近30万字。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
2020年的算法实习岗位/校招公司信息表,部分包括内推码,和常见深度学习算法岗面试题及答案,暑期计算机视觉实习面经和总结
Akrusher / interview-1
Forked from DWCTOD/interview2020秋招 计算机视觉算法岗面经整理——包含实习和校招等 内推整理
Roadmap to becoming a data engineer in 2021
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
The "Python Machine Learning (2nd edition)" book code repository and info resource
Pytorch implementation of cnn network
Code samples for my book "Neural Networks and Deep Learning"
The new Windows Terminal and the original Windows console host, all in the same place!
A Python implementation of global optimization with gaussian processes.
Learn python3 in one picture.
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
Reproducing the results of the paper "Bayesian Recurrent Neural Networks" by Fortunato et al.
Implementation of Stochastic Gradient Langevin Dynamics
ariddell / lda
Forked from lda-project/ldaTopic modeling with latent Dirichlet allocation using Gibbs sampling
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
bert nlp papers, applications and github resources, including the newst xlnet , BERT、XLNet 相关论文和 github 项目
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
TensorFlow code and pre-trained models for BERT