ploxoy Goto Github PK
Name: KOTENOK VITALY
Type: User
Location: Earth planet
Name: KOTENOK VITALY
Type: User
Location: Earth planet
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Accompanying repository for Let's make a DQN / A3C series.
Automatic architecture search and hyperparameter optimization for PyTorch
This repo includes ChatGPT prompt curation to use ChatGPT better.
:memo: An awesome Data Science repository to learn and apply for real world problems.
List of awesome resources for machine learning-based algorithmic trading
Reinforcement learning resources curated
Scalable, event-driven, deep-learning-friendly backtesting library
🤓 Build your own (insert technology here)
CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" https://arxiv.org/abs/2102.02611
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)
Coursera test repository
Complete Assignments for Spring 2017 CS231n: Convolutional Neural Networks for Visual Recognition
Completed the CS231n spring 2017 assignments from Stanford university
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.
Roadmap to becoming a data engineer in 2021
Getting Started with Data Enngineering
:bar_chart: Path to a free self-taught education in Data Science!
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
This project uses Deep Reinforcement Learning (DRL) to develop and evaluate stock trading strategies. By implementing agents like PPO, A2C, DDPG, SAC, and TD3 in a realistic trading environment with transaction costs, it aims to optimize trading decisions based on return, volatility, and Sharpe ratio.
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Materials for Deep RL seminars.
Algorithmic trading with deep learning experiments
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.