badman1111's repositories
awesome-python-cn
Python资源大全中文版,包括:Web框架、网络爬虫、模板引擎、数据库、数据可视化、图片处理等,由伯乐在线持续更新。
awesome-wechat-weapp
微信小程序开发资源汇总 :100:
ChatGLM-6B
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
ChatGLM2-6B
ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
chinese-poetry
最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人,21050首词。
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
deep-trading-agent
Deep Reinforcement Learning based Trading Agent for Bitcoin
doudizhu-C
C++/python fight the lord with pybind11 (强化学习AI斗地主)
eat_pyspark_in_10_days
pyspark🍒🥭 is delicious,just eat it!😋😋
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.
kaggle-avazu
2nd place solution for Avazu click-through rate prediction competition
fastbook
The fastai book, published as Jupyter Notebooks
langchain-ChatGLM
langchain-ChatGLM, local knowledge based ChatGLM with langchain | 基于本地知识库的 ChatGLM 问答
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1500+页)和视频链接
PPD_RiskControlCompetition
3rd Place Solution for PPD Risk Control Competition
rethink
A new way to Rethink your notes. A note/thought taking app
simpleui_demo
django simpleui demo.
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.