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Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.
This repository contains LLM (Large language model) interview question asked in top companies like Google, Nvidia , Meta , Microsoft & fortune 500 companies.
AI that sees your screen, listens to your conversations and tells you what to do
Classic papers and resources on recommendation
V-Express aims to generate a talking head video under the control of a reference image, an audio, and a sequence of V-Kps images.
Kitware's system for 3D building reconstruction for the IARPA CORE3D program
LLM training code for Databricks foundation models
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Open-Sora: Democratizing Efficient Video Production for All
Python-based optical flow toolkit for existing popular dataset
Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs
Official PyTorch implementation of StyleGAN3
Fedlearn支持前沿算法研发的Python工具库 | Fedlearn algorithm toolkit for researchers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
The summary of code and paper for salient object detection with deep learning.
Code for our CVPR 2019 paper "A Simple Pooling-Based Design for Real-Time Salient Object Detection"
A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.
Material Classification with Convolutional Networks in PyTorch
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)
Nvidia Semantic Segmentation monorepo