Aim — an easy-to-use and performant open-source experiment tracker.
Algo trading strategies implemented in python. In future along with rule based approaches, machine learning stragies are going to be incorporated to generate buy sell and hold signals in live market.
🤖 Predict the stock market with AI 用AI预测股票市场
Analyze FnO trends by using NSE Bhav copy
Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.
Clearbuds machine learning repository
Released assignments for the Stanford's CS131 course on Computer Vision.
Portfolio optimization and simulation in Python
A Deep Reinforcement Learning Framework for Automated Trading in Quantitative Finance. NeurIPS 2020. 🔥
Resources to go with the Indic NLP Library
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the most must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
NSE Data [Both Live tick data and per minute data] is uploaded in this repository. NSE live tick data uploaded every day after market ends.
Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .
Python implementation of EVM(Eulerian Video Magnification)
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Different Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.
📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction
The textbook Computational and Inferential Thinking: The Foundations of Data Science
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Self-supervised NER prototype - updated version (69 entity types - 17 broad entity groups). Uses pretrained BERT models with no fine tuning. State-of-art performance on 3 biomedical datasets
Source for https://fullstackdeeplearning.com