songbojin's Stars
CyberPunkMetalHead/Binance-News-Sentiment-Bot
This is a fully functioning Binance trading bot that takes into account the news sentiment for the top 100 crypto feeds. If you like this project consider donating though the Brave browser to allow me to continuously improve the script.
markcheno/go-quote
Yahoo finance/Google finance/Coinbase/Bittrex/Binance/Tiingo historical quote downloader library and cli written in golang
EleutherAI/gpt-neo
An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
EXALAB/AnLinux-App
AnLinux allow you to run Linux on Android without root access.
scrapy/scrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.
PaddlePaddle/PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
Neutralzz/RefQA
The implementation of the paper "Harvesting and Refining Question-Answer Pairs for Unsupervised QA"
sogou/SogouMRCToolkit
This toolkit was designed for the fast and efficient development of modern machine comprehension models, including both published models and original prototypes.
miso-belica/sumy
Module for automatic summarization of text documents and HTML pages.
suragnair/alpha-zero-general
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
awslabs/unsupervised-qa
Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering
lonePatient/awesome-pretrained-chinese-nlp-models
Awesome Pretrained Chinese NLP Models,高质量中文预训练模型&大模型&多模态模型&大语言模型集合
tensortrade-org/tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
teacherpeterpan/Unsupervised-Multi-hop-QA
Codes for NAACL 2021 Paper "Unsupervised Multi-hop Question Answering by Question Generation"
AkariAsai/learning_to_retrieve_reasoning_paths
The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".
THUDM/CogQA
Source code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"
google-deepmind/streetlearn
A C++/Python implementation of the StreetLearn environment based on images from Street View, as well as a TensorFlow implementation of goal-driven navigation agents solving the task published in “Learning to Navigate in Cities Without a Map”, NeurIPS 2018
compound-finance/compound-protocol
The Compound On-Chain Protocol
easzlab/kubeasz
使用Ansible脚本安装K8S集群,介绍组件交互原理,方便直接,不受国内网络环境影响
labring/sealos
Sealos is a production-ready Kubernetes distribution. You can run any Docker image on sealos, start high availability databases like mysql/pgsql/redis/mongo, develop applications using any Programming language.
trojan-gfw/trojan
An unidentifiable mechanism that helps you bypass GFW.
rclone/rclone
"rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files
Chia-Network/chia-blockchain
Chia blockchain python implementation (full node, farmer, harvester, timelord, and wallet)
ishuibo/rsa-encrypt-body-spring-boot
Spring Boot 接口请求参数自动加解密
lschmelzeisen/nasty
NASTY Advanced Search Tweet Yielder
jonbakerfish/TweetScraper
TweetScraper is a simple crawler/spider for Twitter Search without using API
facebook/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
PiSimo/BitcoinForecast
Predict bitcoin price with deep learning
kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
yearn/iearn-finance
Web repository