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🦜🔗 Build context-aware reasoning applications
Google Research
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A game theoretic approach to explain the output of any machine learning model.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Instruct-tune LLaMA on consumer hardware
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Using Low-rank adaptation to quickly fine-tune diffusion models.
"Probabilistic Machine Learning" - a book series by Kevin Murphy
NMA Computational Neuroscience course
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
Solutions of Reinforcement Learning, An Introduction
An Open-Source Python3 tool for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free alternative to Mathpix, empowering seamless conv…
Code / solutions for Mathematics for Machine Learning (MML Book)
An attempt to build a working, locally-running cheap version of Generative Agents: Interactive Simulacra of Human Behavior
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
Ada Build is curriculum that is intended for anyone who is interested in beginning their journey into coding.
A benchmark environment for fully cooperative human-AI performance.
A repo for the pre-course work at home exercises
PyTorch implementation of FastSurferCNN
Training Sparse Autoencoders on Language Models
Install Conda and friends on Google Colab, easily
NYU PSYCH-GA 3405.002 / DS-GS 3001.006 : Computational cognitive modeling
A 3D video game environment and benchmark designed from scratch for reinforcement learning research
A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"
Library for graphical models of decision making, based on pgmpy and networkx