Public repo for my latest and greatest cognitive architecture ACE (Autonomous Cognitive Entity) Framework

⚡ Building applications with LLMs through composability ⚡

Our version of Xie et al's CD-VAE, an SE(3)-invariant autoencoder for materials

Reposity for all the various tools I make.

Homebrew JSONs compatible with 5etools.

Repository to gather and share ideas eventually spurring discussions and possibly implementations. Please adhere to the proposal template.

Organize papers in Math reading group

Creating a mini version of Deep Learning for Protein Structure Prediction inspired by DeepMind AlphaFold algorithm

Standardized data set for machine learning of protein structure

Upcoming project for representing research papers as vectors / latent representations. More coming soon

All Algorithms implemented in Python

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Widely used and useful papers related to machine learning and deep learning

Practice notebooks for NumPy, Pandas, matplotlib, basic machine learning etc.

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

A collection of small corpuses of interesting data for the creation of bots and similar stuff.

Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

This is the code for the "How to Make a Neural Net" live session by @Sirajology on Youtube

A list of practical projects that anyone can solve in any programming language.