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ad_prediction

Alzheimer's Disease Prediction by using ResNet, AlexNet

an-introduction-to-statistical-learning

This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning

bayes_tutorial_2019

Introductory overview of Bayesian inference

bayesiandeeplearning-survey

Bayesian Deep Learning: A Survey

bdl-benchmarks

Bayesian Deep Learning Benchmarks

ce7454_2019

Deep learning course CE7454, 2019

ce9010_2018

Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18

code_snippets

d2l-en

Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.

data-science-notes

数据科学的笔记以及资料搜集

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

deep_rl_with_pytorch

A pytorch tutorial for DRL(Deep Reinforcement Learning)

deeplearning

Python for Deep Learning，《深度学习》数学推导、原理与代码实现

eeg_cnn

Python code for mental state recognition from EEG observations using CNN and RNN networks.

feature-engineering-handbook

A practical feature engineering handbook

first-steps-towards-deep-learning

This is an open sourced book on deep learning.

gcforest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

grokking-deep-learning

this repository accompanies the book "Grokking Deep Learning"

info8010-deep-learning

Lectures for INFO8010 - Deep Learning, ULiège

intro_stat_modeling_2017

Introduction to Statistical Modeling with Python (PyCon 2017)

lasagne

Lightweight library to build and train neural networks in Theano

low-power-epilepsy-detection

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

lstm_rnn_tutorials_with_demo

LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

machine-learning-notes

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

mastering-ml-w-python-in-six-steps

Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan

ml2021-spring

李宏毅 (Hung-Yi Lee) 機器學習 Machine Learning 2021 Spring

multiscale-intracranial-pressure-simulator

MATLAB Code for publication "A Multiscale Intracranial Pressure Simulator " presented at Computing in Cardiology (CinC), Sept. 2018.