AI-generated Optimization Decision

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

PyTorch implementation of the discrete Soft-Actor-Critic algorithm.

A Torch Based RL Framework for Rapid Prototyping of Research Papers

RAG with MircosoftPhi2, LlamaIndex and HF Embeddings

Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments".

Kolmogorov-Arnold Network for Reinforcement Leaning, initial experiments

Real-time face swap for PC streaming or video calls

one-click deepfake (face swap)

Telco-RAG is a specialized Retrieval-Augmented Generation (RAG) framework for 3GPP documents

Benchmark of federated learning. Dedicated to the community. 🤗

A curated list of Diffusion Model in RL resources (continually updated)

This is a repository for the implementation of the paper "Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design".

PyTorch implementations of MADDPG, MAPPO (coming)

Lightweight version of MAPPO to help you quickly migrate to your local environment.

[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

人脸识别应用

A collection of pre-trained, state-of-the-art models in the ONNX format

Team: Double Y

Efficient YOLOv8 inference depends not only on GPU specifications but also on CPU processing. However, the significance of fully utilizing the CPU is often overlooked. In this repository, we explor…

Lightweight, Pre-trained Transformers for Remote Sensing Timeseries

Understand yolov8 structure,custom data traininig

Google Research

Sabre: simulating ABR environments

DeeCamp 2019 Team 19

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks