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Python - 100天从新手到大师
Python Data Science Handbook: full text in Jupyter Notebooks
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
This repository contains implementations and illustrative code to accompany DeepMind publications
Python training for business analysts and traders
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
Understanding Deep Learning - Simon J.D. Prince
Collection of notebooks about quantitative finance, with interactive python code.
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative ski…
Python实用教程，包括：Python基础，Python高级特性，面向对象编程，多线程，数据库，数据科学，Flask，爬虫开发教程。
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
Notebooks about Bayesian methods for machine learning
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SP…
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
A multi-task learning example for the paper https://arxiv.org/abs/1705.07115
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Pape…
a tensorflow implementation of WGAN
A tutorial on Julia DataFrames package
Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly wit…