knight-zhang Goto Github PK

100-nlp-papers

100 Must-Read NLP Papers

bert

TensorFlow code and pre-trained models for BERT

bert_chinese_classification

本实验，是用BERT进行中文情感分类，记录了详细操作及完整程序

chatpaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文总结+润色+审稿+审稿回复

colossalai

Making large AI models cheaper, faster and more accessible

contrast_rules

data-analysis

Data Science Using Python

devtools

⚙️ Browser devtools extension for debugging Vue.js applications.

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

economic

code

financial

finbert

gan

genshin_auto_fish

基于深度强化学习的原神自动钓鱼AI

homebody

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

java_test

kl

leetcode

😏 LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

nlp-tutorial

NLP新手入门教程

personae

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

prompt-engineering-guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

stock-price-prediction-using-gan-capstone-group1

In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the prediction. LSTM will be used as a generator, and CNN as a discriminator. In addition, Natural Language Processing(NLP) will also be used in this project to analyze the influence of News on stock prices.

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

stockstats

Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.

tushare

TuShare is a utility for crawling historical data of China stocks

xor-neural-network

A simple Neural Network that learns to predict the XOR logic gates.