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[CVPR 2023] "PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation" official implementation.
Official implementation of "MoMask: Generative Masked Modeling of 3D Human Motions (CVPR2024)"
Emote Portrait Alive: Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
An Autonomous LLM Agent for Complex Task Solving
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
An Open-Ended Embodied Agent with Large Language Models
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
AgentSims is an easy-to-use infrastructure for researchers from all disciplines to test the specific capacities they are interested in.
Yet another voice assistant, but alive.
This is an AI agent for Street Fighter II Champion Edition.
Generative Agents: Interactive Simulacra of Human Behavior
XuanNF / Deep-Learning-with-TensorFlow-book
Forked from dragen1860/Deep-Learning-with-TensorFlow-book深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Code and hyperparameters for the paper "Generative Adversarial Networks"
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Tensorflow implementation of Image Super-Resolution Using Dense Skip Connections(a.k.a SRDenseNet)
A tensorflow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Networks", CVPR 16'
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Implementation of SRCNN in Tensorflow 2
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Implementation of SRCNN in Tensorflow 2