James_bobo's repositories

SOH

锂电池SOH估计算法

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battery_ad_gcn

Abnormal battery health status detection

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charge_plot

plot demo

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youtube_video

download

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Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

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black

The uncompromising Python code formatter

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clause

:horse_racing: 聊天机器人,自然语言理解

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dynamic_vae

Dynamic VAE algorithm is used for anomaly detection of battery data

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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ezdxf

Python interface to DXF

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FlappyLearning

Program learning to play Flappy Bird by machine learning (Neuroevolution)

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free-programming-books-zh_CN

:books: 免费的计算机编程类中文书籍,欢迎投稿

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hdbscan

A high performance implementation of HDBSCAN clustering.

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llama3

The official Meta Llama 3 GitHub site

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mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

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nvitop

An interactive NVIDIA-GPU process viewer, the one-stop solution for GPU process management.

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prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

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pyecharts

🎨 Python Echarts Plotting Library

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pyodide

Python with the scientific stack, compiled to WebAssembly.

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Python

My Python Examples

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PyTorch_Tutorial

《Pytorch模型训练实用教程》中配套代码

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Sentence-VAE

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

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stock

stock,股票系统。使用python进行开发。

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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.

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TF-2.0-Hacks

Contains my explorations of TensorFlow 2.x

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transfer.sh

Easy and fast file sharing from the command-line.

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transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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yapi

YApi 是一个可本地部署的、打通前后端及QA的、可视化的接口管理平台

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yfinance

Yahoo! Finance market data downloader (+faster Pandas Datareader)

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