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advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

algorithms-ls

算法刷题记录

chart2text

Chart-to-Text: Generating Natural Language Explanations for Charts by Adapting the Transformer Model

data-cleaning-and-exploration-with-machine-learning

Data Cleaning and Exploration with Machine Learning

deep-forest

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

deep-learning-with-tensorflow-2-and-keras

Deep Learning with TensorFlow 2 and Keras, published by Packt

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.

example-code-2e

Example code for Fluent Python, 2nd edition

handson-ml2

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.

lihang-code

《统计学习方法》的代码实现

mastering-pytorch

Mastering PyTorch, published by Packt

mastering-transformers

Mastering Transformers, published by Packt

mastering_transformers_note

mastering transformers代码及笔记

metis

Metis is a learnware platform in the field of AIOps.

ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns

ml-sebastian-3rd

Python机器学习-Sebastian Raschka

mtad-gat-pytorch

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

practical-statistics-for-data-scientists

Code repository for O'Reilly book

prml

PRML algorithms implemented in Python

pyod

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

rl-tf2-over-50-recipe

基于tf2的强化学习算法实现-50+个recipe

tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

tensorflow2-for-deeplearning