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Examples and guides for using the OpenAI API
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
深度学习入门教程, 优秀文章, Deep Learning Tutorial
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.
The "Python Machine Learning (1st edition)" book code repository and info resource
This repository contains demos I made with the Transformers library by HuggingFace.
My blogs and code for machine learning. http://cnblogs.com/pinard
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.
Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA
Materials for my scikit-learn tutorial
Single-document unsupervised keyword extraction
🙄 Difficult algorithm, Simple code.
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2021 Spring
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning t…
李宏毅2021机器学习深度学习笔记PPT作业
Deep Keyphrase Extraction using BERT
A brand tagging system in product titles and user generated text
BERT CRF model for Name Entity Recognition in pytorch