this repo contains my journey of 30 days of FL code.

Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

[NeurIPS 2023] HASSOD: Hierarchical Adaptive Self-Supervised Object Detection

HyperMODEST: Self-Supervised 3D Object Detection with Confidence Score Filtering

[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning

This repository contains code for the paper "Self-supervised co-salient object detection via feature correspondence at multiple scales"

Multi-task Self-supervised Object Detection via Recycling of Bounding Box Annotations (CVPR, 2019)

Official repo of Object Detection with Self-Supervised Scene Adaptation [CVPR 2023] and Efficiency-preserving Scene-adaptive Object Detection [BMVC 2024]

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Visual tracking library based on PyTorch.

[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation

Windows File System Proxy - FUSE for Windows

SSHFS For Windows

C++ Implementation of PyTorch Tutorials for Everyone

This is an official implementation for "Video Swin Transformers".

A tutorial of how to implement ultralytics models in a federated setting using FEDn

FedERA is a modular and fully customizable open-source FL framework, aiming to address these issues by offering comprehensive support for heterogeneous edge devices and incorporating both standalon…

Open deep learning compiler stack for cpu, gpu and specialized accelerators

Implementation of popular deep learning networks with TensorRT network definition API

ONNX-TensorRT: TensorRT backend for ONNX

Sample apps to demonstrate how to deploy models trained with TAO on DeepStream

NVIDIA DeepStream SDK 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

A PyTorch library and evaluation platform for end-to-end compression research