zixinyi's repositories
apmla_material
Material for the Course on Advanced Probabilistic ML and Applications
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
DataCamp
DataCamp data-science courses
datacamp-1
A repository that contains courses I have taken on DataCamp
datacamp-2
A repository for examples and extensions of what I learn from the classes.
Deep-Learning-with-TensorFlow-book
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.
Exploratory-Data-Analysis-with-Pandas-and-Python-3.x
Exploratory Data Analysis with Pandas and Python 3.x, published by Packt
FINCH-Clustering
Source Code for FINCH Clustering Algorithm
free-programming-books
:books: Freely available programming books
Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
interpretability_framework
Project 5 AFM 2018 Demo - Modular Interpretability Interface
interpretable-deep-gait
Explaining the unique nature of individual gait patterns with deep learning
interpretable-ml-book
Book about interpretable machine learning
learnopencv
Learn OpenCV : C++ and Python Examples
LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
lrp_toolbox
The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.
MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
magenta
Magenta: Music and Art Generation with Machine Intelligence
MCW-Intelligent-analytics
MCW Intelligent analytics
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
pb-python
Pandorabots API module for Python
PRMLT
Matlab code for machine learning algorithms in book PRML
pyspark-example-project
Example project implementing best practices for PySpark ETL jobs and applications.
pyspark-learning
Learn Spark using Python, Video - >
Python-100-Days
Python - 100天从新手到大师
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
seq2seq-signal-prediction
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
Spark-with-Python
Fundamentals of Spark with Python (using PySpark), code examples
stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting