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Framework for building scalable agentic applications.
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
Simulate the formation of three-dimensional packings of spherical and non-spherical (regular and irregular) particles with prescribed size distributions.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Hands-On Graph Neural Networks Using Python, published by Packt
Generative Models by Stability AI
A hub dedicated to development and upkeep of the Sytan SDXL workflow for ComfyUI
A collection of resources and papers on Diffusion Models
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Generative Adversarial Networks 101 Tutorial for ODSC Generative AI Summit 2023
Bias correction method using quantile mapping
The project’s main goal is to investigate real-time object detection and tracking of pedestrians or bicyclists using a Velodyne LiDAR Sensor. Various point-cloud-based algorithms are implemented us…
Decoupling Reasoning from Observations for Efficient Augmented Language Models
Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The …
A latent text-to-image diffusion model
Third party firmware for Asus routers (newer codebase)
Data and code behind the articles and graphics at FiveThirtyEight
A project to scrape IMDB, Metacritic and Rotten Tomato scores of movies and analyse the ratings given to these movies
Deep universal probabilistic programming with Python and PyTorch
sanromd / Machine-Learning-for-Economics-and-Finance-in-TensorFlow-2
Forked from Apress/Machine-Learning-for-Economics-and-Finance-in-TensorFlow-2source code
B78XH is an open source and free modification of default Boeing 787-10 in Microsoft Flight Simulator.
Allows the A32NX to work with the Project Mega Pack A330
Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems
A library for scientific machine learning and physics-informed learning
Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networks (PINNs) in PyTorch.