Showing 1701-1720 of 3,069 projects
A convolutional neural network model for video classification trained on the Kinetics dataset.
Official code for a fast ODE solver for diffusion probabilistic model sampling in 10 steps
This repository contains code for comparing Generative Adversarial Networks (GANs), a type of machine learning model.
A C++ runtime VRM loader for Unreal Engine 5, enabling integration of VRM-based 3D models.
Robust real-time face and facial landmark tracking on CPU with Unity integration for virtual youtubers/VTubers.
An innovative AI-powered document understanding and OCR platform from Alibaba Research.
A research project from Facebook that explores multimodal AI models for computer vision and language tasks.
Official repository for C-Eval, a Chinese evaluation suite for foundation models.
CogDL is a comprehensive library for graph deep learning, providing state-of-the-art models and utilities for graph-based tasks.
A library for semantic segmentation tasks using deep learning models provided by NVIDIA.
Automatically generate tests for your Node.js app without writing any code using large language models.
ONNX.js allows developers to run ONNX machine learning models using JavaScript in the browser or Node.js.
A PyTorch library for building state-of-the-art semantic segmentation models for computer vision tasks.
A Python library for ensembling object detection models using the Weighted Boxes Fusion (WBF) method.
An Android automation tool based on vision-language models that allows developers to automate mobile app interactions.
Powerful, fast and robust 3D model to G-code converter for 3D printers, part of the open-source Cura project.
An end-to-end autonomous driving benchmark with a world model RL expert for developers working on AI-powered driving systems.
Scalable reinforcement learning solution for advanced reasoning of language models.
A comprehensive set of Keras-based NLP models for text classification, similarity, and more, with support for Chinese and English.
An open-source library for building Liquid Time-Constant Networks, a type of recurrent neural network for sequence modeling.
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