zhong2024's repositories
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)
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
learn-python3
Learn Python 3 Sample Code
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
test1
test1 for Git
planets1010
practising Git
100-Days-Of-ML-Code
100 Days of ML Coding
deep-Bayesian-nonparametrics-papers
The collection of papers about combining deep learning and Bayesian nonparametrics
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet代码实现改为PyTorch实现。
mlss2019-bayesian-deep-learning
MLSS2019 Tutorial on Bayesian Deep Learning
numpy-ml
Machine learning, in numpy
bayesian-machine-learning
Notebooks related to Bayesian methods for machine learning
deeplearning-models
A collection of various deep learning architectures, models, and tips
Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more
pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
BayesianNeuralNetwork
a repo sharing Bayesian Neural Network recent papers
weight_uncertainty
Implementing Bayes by Backprop
Reinforcement_learning_tutorial_with_demo
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
MCDO
A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
Learning-from-data
记录Learning from data一书中的习题解答
Deep-Neural-Networks-HealthCare
Tangible and Practical Deep Learning Projects Repository for Healthcare such as Cancer, Drug Discovery, Genomic and More
ESL-CN
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
PRML
PRML algorithms implemented in Python
awesome-algorithm
Leetcode 题解 (跟随思路一步一步撸出代码) 及经典算法实现
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15个章节,近20万字。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
Python
All Algorithms implemented in Python
edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
docs
TensorFlow documentation