yasar-rehman

segment-anything

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.

google-research

Google Research

alpaca-lora

Instruct-tune LLaMA on consumer hardware

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

flower

Flower: A Friendly Federated AI Framework

onnx-simplifier

Simplify your onnx model

DeepLearning

tbparse

Load tensorboard event logs as pandas DataFrames for scientific plotting; Supports both PyTorch and TensorFlow

D2HNet

D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration. ECCV, 2022

ExtPortraitSeg

orchestra

Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"

FlexCFL

FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.

Large-Separable-Kernel-Attention

RAW2RGB-GAN

PyTorch implementation of saliency map-aided GAN for Auto-demosaic+denosing

FEDVSSL

This is the official impelementation of "FVSSL Algorithm"

FlowerMonthly

Short, easy to run, code examples presented in the Flower's FlowerMonthly online meetings.

NormalizedCrossCorrelationLayer

The normalized cross correlation layer on Keras

SLNET

Stereo Face Liveness Detection using Convolutional Neural Networks

L-DAWA

This is the official repository of L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning github

Energy-Efficient-Object-Detection-and-Image-Transmission-in-WMSN

AudioInceptionNeXt

LiveNet

This is an official repository of LiveNet

Perturbing-CNNs

This is an official repository of the paper titled " Enhancing deep discriminative feature maps via perturbation for face presentation attack detection "

VCGAN

supplementary material for paper "VCGAN: Video Colorization with Hybrid Generative Adversarial Network", IEEE Transactions on Multimedia (TMM'21)