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Juan D Beltran's Projects

annotated_deep_learning_paper_implementations icon 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, ... 🧠

carbon-budget icon carbon-budget

Calculate gross GHG emissions, gross carbon removals (sequestration), and net flux from forests globally

causality icon causality

Notes, exercises and other materials related to causal inference, causal discovery and causal ML.

courses icon courses

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

data-science-ipython-notebooks icon 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.

fastbook icon fastbook

The fastai book, published as Jupyter Notebooks

faster-pytorch-blog icon faster-pytorch-blog

Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy

financepy icon financepy

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

langchain icon langchain

⚡ Building applications with LLMs through composability ⚡

nanogpt icon nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

open-cd icon open-cd

A Change Detection Repo Standing on the Shoulders of Giants

quant-trading icon quant-trading

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

techniques icon techniques

Techniques for deep learning with satellite & aerial imagery

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