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Library for reading and writing large multi-dimensional arrays.
Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app
📋 A list of open LLMs available for commercial use.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Windows system utilities to maximize productivity
Chatbot for documentation, that allows you to chat with your data. Privately deployable, provides AI knowledge sharing and integrates knowledge into your AI workflow
A playbook for systematically maximizing the performance of deep learning models.
LlamaIndex is the leading framework for building LLM-powered agents over your data.
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch
GeoCode maps 3D shapes to a human-interpretable parameter space, allowing to intuitively edit the recovered 3D shapes from a point cloud or sketch input.
🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.
A latent text-to-image diffusion model
An implementation of the Debug Adapter Protocol for Python
SOTA Semantic Segmentation Models in PyTorch
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
"Neural 3D Mesh Renderer" (CVPR 2018) by H. Kato, Y. Ushiku, and T. Harada.
A toolkit for making real world machine learning and data analysis applications in C++