ingeechart

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

CVPR2024-Papers-with-Code

CVPR 2024 论文和开源项目合集

tech-interview-for-developer

👶🏻 신입 개발자 전공 지식 & 기술 면접 백과사전 📖

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

XUAN

interviews.ai

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

pytorchviz

A small package to create visualizations of PyTorch execution graphs

a-PyTorch-Tutorial-to-Object-Detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

ddcctl

DDC monitor controls (brightness) for Mac OSX command line

visual-slam-roadmap

Roadmap to become a Visual-SLAM developer in 2023

robustness

Corruption and Perturbation Robustness (ICLR 2019)

deeplab2

DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.

Awesome-BEV-Perception-Multi-Cameras

Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird's-Eye-View, such as DETR3D, BEVDet, BEVFormer, BEVDepth, UniAD

Multi-Task-Learning-PyTorch

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

KLP-Lame-Keycaps

Sculpted and curved keycaps for Kailh Choc and MX switches

awesome-multi-task-learning

2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

PIDNet

This is the official repository for our recent work: PIDNet

Pytorch-Correlation-extension

Custom implementation of Corrleation Module

timm

Immutability helpers with fast reads and acceptable writes

wingB_Korean-Split-keyboard

semantic_seg_paper_collection

ml-deployment-k8s-tfserving

This project shows how to serve an TF based image classification model as a web service with TFServing, Docker, and Kubernetes(GKE).

python-hog

Python implementation of the Histogram of Oriented Gradients.

SynthVAE

Synthetic data generation by a Variational AutoEncoder with Differential Privacy assessed using Synthetic Data Vault metrics

happy-nut.github.io

피스타치오는 맛있어

inference_results_v0.7

This repository contains the results and code for the MLPerf™ Inference v0.7 benchmark.

PyTorch_firststep

<파이토치 첫걸음> 리포지토리

Code_Seminar