Carlos Emilio Camacho's Projects
Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning
A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes".
The Leek group guide to data sharing
Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
The boundary of neural network trainability is fractal
Graph Machine Learning course, Xavier Bresson, 2023
A Graph Neural Network project on HIV data
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
My first repository in GitHub
Differentiable, Hardware Accelerated, Molecular Dynamics
Learn Julia via interactive tutorials!
Implementing a ChatGPT-like LLM from scratch, step by step
Config files for my GitHub profile.
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
Public repo for DeepLearning.AI MLEP Specialization
Repositorio de tareas para el curso de Matemáticas Discretas, semestre 2022-1
Repository containing notebooks of my posts on Medium
Numba GPU tutorial notebooks for PyData Amsterdam 2019
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Time series forecasting with PyTorch
Pytorch Geometric Tutorials