#Resnet
Showing 60 of 65 repositories tagged #resnet, ranked by stars
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
Machine learning, in numpy
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
OpenMMLab Pre-training Toolbox and Benchmark
校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
ResNeSt: Split-Attention Networks
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
🙄 Difficult algorithm, Simple code.
Residual networks implementation using Keras-1.0 functional API
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
High level network definitions with pre-trained weights in TensorFlow
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
PyTorch to Keras model convertor
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Visual Question Answering in Pytorch
Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture, Jester, Kinetics and UCF101
🏞 A content-based image retrieval (CBIR) system
Towards deepfake detection that actually works
A list of popular deep learning models related to classification, segmentation and detection problems
[ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...
A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet
SimpleAICV:pytorch training examples.
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
[CVPR 2024 Highlight] Logit Standardization in Knowledge Distillation
Voice Activity Detection based on Deep Learning & TensorFlow
Deep learning codes and projects using Python
A clothing retrieval and visual recommendation model for fashion images.
PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne). Other additions: AdEMAMix
tensorflow implementation of Grad-CAM (CNN visualization)
Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
🌟Change the world, it will become a better place. | 以科研和竞赛为导向的最好的YOLO实践框架!
Speech commands recognition with PyTorch | Kaggle 10th place solution in TensorFlow Speech Recognition Challenge
Basic Gesture Recognition Using mmWave Sensor - TI AWR1642
[WACV 2024 Oral] - ARNIQA: Learning Distortion Manifold for Image Quality Assessment
Final Project for AI Wireless
PyTorch implementation of DeepDream algorithm
AlphaZero implementation for Othello, Connect-Four and Tic-Tac-Toe based on "Mastering the game of Go without human knowledge" and "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm" by DeepMind.
Pytorch implementation of FCN, UNet, PSPNet, and various encoder models.
VerifyVision-Pro是一个全面的图像伪造篡改检测解决方案，利用深度学习（deep learning）和计算机视觉技术（cv）精确识别各类图像篡改，包括deepfake、AI生成内容、拼接操作和复制-移动篡改。基于PyTorch实现，集成了从数据处理、模型训练到部署的完整工作流程。
Age Estimation with PyTorch: Deep Learning for Predicting Age
Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same
A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.
Multiclass image classification using Convolutional Neural Network
This is a repository for a No-Code object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operating systems.
Pytorch notebook with One Cycle Policy implementation (https://arxiv.org/abs/1803.09820)
a lightweight image matting model
OpenCL for Nets - A Deep Learning Framework based on OpenCL, written by C++. Supports popular MLP, RNN(LSTM), CNN(ResNet). Friendly debugger. Transparent data. No library dependencies. 基于OpenCL的深度学习计算框架，C++开发，支持多层感知器，长短时记忆模型，卷积神经网络，残差网络。调试方便，数据透明。无外部依赖。
Segmenting people on photos using IOS devices [Pytorch; Unet]
Virtually remove a face mask to see what a person looks like underneath
PyTorch implementations of some FPN-based semantic segmentation architectures: vanilla FPN, Panoptic FPN, PANet FPN; with ResNet and EfficientNet backbones.
Depth estimation from RGB images using fully convolutional neural networks.
💩 My pytorch neural network practice repo
Lviv Data Science Summer School 2016 project