427 Open source projects that are alternatives of or similar to Sppnet Pytorch

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

Source codes and corpora of paper "Iterated Dilated Convolutions for Chinese Word Segmentation"

Person re-ID baseline with triplet loss

基于卷积神经网络的语音识别声学模型的研究

Density-aware Single Image De-raining using a Multi-stream Dense Network (CVPR 2018)

Radar target classification, detection and recognition using deeplearning methods on MSTAR dataset

An open source library for face detection in images. The face detection speed can reach 1000FPS.

👋 👌 research codebase for depth-based hand pose estimation using dynamics based tracking and CNNs

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

Deep Learning--深度学习

Deep learning codes and projects using Python

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코딩셰프의 3분 딥러닝, 케라스맛

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Attention-guided CNN for image denoising(Neural Networks,2020)

Simple Convolutional Neural Network Library

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A simple, flexible, and extensible template for PyTorch. It's beautiful.

Collections of model quantization algorithms

This code implements a simple CNN model for document classification with tensorflow.

Spatial Pyramid Pooling on top of AlexNet using tensorflow. ***New updates for SPPnet in Pytorch**

Sentence Classifications with Neural Networks

MOT using deepsort and yolov3 with pytorch

Openpose implementation using darknet

Artificial Intelligence Learning Notes.

Keras implementation of the renowned publication "DeepFace: Closing the Gap to Human-Level Performance in Face Verification" by Taigman et al. Pre-trained weights on VGGFace2 dataset.

Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

An Open Source Deep Learning Inference Engine Based on FPGA

A tensorflow implementation of Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥

Neural models for Text Classification in Tensorflow, such as cnn, dpcnn, fasttext, bert ...

A dataset for estimation of hand pose and shape from single color images.

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Chinese & English Cws Pos Ner Entity Recognition implement using CNN bi-directional lstm and crf model with char embedding.基于字向量的CNN池化双向BiLSTM与CRF模型的网络，可能一体化的完成中文和英文分词，词性标注，实体识别。主要包括原始文本数据，数据转换,训练脚本,预训练模型,可用于序列标注研究.注意：唯一需要实现的逻辑是将用户数据转化为序列模型。分词准确率约为93%，词性标注准确率约为90%，实体标注（在本样本上）约为85%。

CNN CBIR benchmark (ongoing)

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

Image denoising using deep CNN with batch renormalization(Neural Networks,2020)

A End to End CNN Model which predicts the steering wheel angle based on the video/image

TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation

DLTK Model Zoo

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[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

FPGA Accelerator for CNN using Vivado HLS

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Sarcasm detection on tweets using neural network

lidc nodule detection with CNN and LSTM network

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

DeepTAM: Deep Tracking and Mapping https://lmb.informatik.uni-freiburg.de/people/zhouh/deeptam/

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

游戏捏脸，基于神经风格迁移框架生成逼真人脸

A High-Quality Real Time Upscaler for Anime Video

CNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet