TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Google Research

A game theoretic approach to explain the output of any machine learning model.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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

Instruct-tune LLaMA on consumer hardware

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

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

Recipes for using Python's pandas library

Overview and tutorial of the LangChain Library

Code for Tensorflow Machine Learning Cookbook

Jupyter notebook and datasets from the pandas video series

Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

记录Learning from data一书中的习题解答

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

BERT for Multitask Learning

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

论文实现(ACL2019)：《Matching the Blanks: Distributional Similarity for Relation Learning》

Quick semantic search using Siamese-BERT encodings

bert_chinese