828 Open source projects that are alternatives of or similar to Dcpdn

Datasets, tools, and benchmarks for representation learning of code.

The Convolutional Neural Network(CNN) for Android

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

A re-implementation of mtcnn. Joint training, tutorial and deployment together.

Efficient, transparent deep learning in hundreds of lines of code.

End-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别

VapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Impementation of MobileNetV2 in pytorch

GitHub repository for "Improving Video Generation for Multi-functional Applications"

Implementing a self driving car using a 3D Driving Simulator. CNN will be used for training

🌈 📷 Gradient-weighted Class Activation Mapping (Grad-CAM) Demo

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Deep learning applied to georeferenced datasets

Face generator from sketches using cGAN (pix2pix) model

CNN, LSTM, NBOW, fasttext 中文文本分类

Semantic JPEG image compression using deep convolutional neural network (CNN)

Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch

Code for CVPR'18 spotlight "Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer"

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

CNN acceleration on virtex-7 FPGA with verilog HDL

Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.

No description or website provided.

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

Visualising predictions of deep neural networks

LCNN: End-to-End Wireframe Parsing

CNN for stock market prediction using raw data & candlestick graph.

Image Captioning using InceptionV3 and beam search

Cifar-10 CNN implementation using TensorFlow library with 20% error.

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

PSPNet implemented in PyTorch for single-person human parsing task, evaluating on Look Into Person (LIP) dataset.

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

CNN image classifier implemented in Keras Notebook 🖼️.

Implementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

PCN based on ncnn framework.

Natural Language Processing with TensorFlow, published by Packt

Try to use tf.estimator and tf.data together to train a cnn model.

Keras implementation of 3D Generative Adversarial Network.

Tools to Design or Visualize Architecture of Neural Network

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro

In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CNN model and Residual Neural Network.

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

Generate text boxes from input words with a GAN.

sentiment analysis、文本分类、ALBERT、TextCNN、classification、tensorflow、BERT、CNN、text classification

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

Keras implementation of a ResNet-CAM model

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

Deep Convolutional Conditional GAN and Supervised CNN for generating children's faces given parents' faces

PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).

Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

End to End learning for Video Generation from Text

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

Scripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

Optimized (for size and speed) Caffe lib for iOS and Android with out-of-the-box demo APP.