JuanDBeltranP
Interested in data visualisation, machine learning, and geospatial data. R and Python - Lead Data Scientist at ECOM trading
ECOMLondon
Pinned Repositories
annotated_deep_learning_paper_implementations
🧑🏫 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, ... 🧠
auquantoolbox
Backtesting toolbox for trading strategies
awesome-GPT-4
awesome-remote-sensing-change-detection
List of datasets, codes, and contests related to remote sensing change detection
carbon-budget
Calculate gross GHG emissions, gross carbon removals (sequestration), and net flux from forests globally
causality
Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
courses
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
data-science-ipython-notebooks
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.
Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
JuanDBeltranP's Repositories
JuanDBeltranP/JuanDBeltranP
Config files for my GitHub profile.