juandbeltranp Goto Github PK
Name: Juan D Beltran
Type: User
Company: ECOM
Bio: Interested in data visualisation, machine learning, and geospatial data. R and Python - Lead Data Scientist at ECOM trading
Location: London
Name: Juan D Beltran
Type: User
Company: ECOM
Bio: Interested in data visualisation, machine learning, and geospatial data. R and Python - Lead Data Scientist at ECOM trading
Location: London
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Backtesting toolbox for trading strategies
List of datasets, codes, and contests related to remote sensing change detection
Calculate gross GHG emissions, gross carbon removals (sequestration), and net flux from forests globally
Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Hands-on Deep Reinforcement Learning, published by Packt
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
Deep Learning Fundamentals -- Code material and exercises
The fastai book, published as Jupyter Notebooks
Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Config files for my GitHub profile.
⚡ Building applications with LLMs through composability ⚡
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
Machine Learning Q and AI book
Modern Time Series Forecasting with Python, published by Packt
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A Change Detection Repo Standing on the Shoulders of Giants
PyTorch deep learning projects made easy.
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
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.