The official Meta Llama 3 GitHub site

This is a balanced dataset for English homograph disambiguation (HD), generated with Meta's Llama 2-Chat 70B model.

🎙️🤖Create, Customize and Talk to your AI Character/Companion in Realtime (All in One Codebase!). Have a natural seamless conversation with AI everywhere (mobile, web and terminal) using LLM OpenAI …

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Efficiently computes derivatives of NumPy code.

Tools to Design or Visualize Architecture of Neural Network

TensorFlow Probability Tutorial

Tensorforce: a TensorFlow library for applied reinforcement learning

A toolkit for developing and comparing reinforcement learning algorithms.

Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

The Large-Eddy Simulation framework from the Turbulence Research Group at Johns Hopkins University

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

A library for scientific machine learning and physics-informed learning

Computer vision assisted tool to extract numerical data from plot images.

An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.

Deep Learning for humans

libkdtree++ is an STL-like C++ template container implementation of k-dimensional space sorting, using a kd-tree. It sports a theoretically unlimited number of dimensions, and can store any data st…

Python wrapper for ASWING (A licensed copy of ASWING must be obtained separately).

Sparse-input neural networks

Introduction to ML packages for the 6.86x course

MATLAB functions that can be used to generate samples from the multi-run IBL model described in AIAA Journal paper 2016-11-J055877.

Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory …

Repository for Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models

A simple Python script help you know more about USCIS status

A set of tools to keep your pinned Python dependencies fresh.

Julia package to write Tikz files

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM)