642 Open source projects that are alternatives of or similar to CPCE-3D

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

StyleGAN Encoder - converts real images to latent space

Listing my favorite research papers 📝 from different fields as I read them.

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

Speech command recognition DenseNet transfer learning from UrbanSound8k in keras tensorflow

Material de la charla "The bad guys in AI - atacando sistemas de machine learning"

Designed to take you from zero experience to GANs within a week.

Synthetic Data Generation for mixed-type, multivariate time series.

Repository for anime characters recognition website, powered by TensorFlow

🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python 🧠🔧

Code for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.

No description or website provided.

my own deep learning mastery roadmap

使用预训练好的InceptionV3模型对自己的数据进行分类，用这个代码的同学希望可以给一个star

PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)

Implementation of the paper "End to End Learning for Self-Driving Cars"

This repository contains a new adversarial training method for Generative Conversational Agents

A curated list of awesome Speech Enhancement papers, libraries, datasets, and other resources.

Dictionary Learning for image processing

Benchmarking synthetic data generation methods.

This is the official GitHub repository for ECCV 2020 Workshop paper "Single image dehazing for a variety of haze scenarios using back projected pyramid network"

Tensorflow-based framework to ease training of generative models

Awesome Graph Self-Supervised Learning

A sample Azure Machine Learning project for Transfer Learning-based custom image recognition by utilizing Keras.

Implementation of a GAN that generates video using LSTM and ConvNet in Tensorflow

My pytorch implementation for GAN

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

Multiclass image classification using Convolutional Neural Network

This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

CycleGAN based neural network architecture to change the gender of a person’s face

Two-stage GANs that generate fingerstyle guitarist images from audio.

Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction

No description or website provided.

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

A place to keep track of all the annotated papers.

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

Unofficial pytorch implementation of algorithms for domain adaptation

Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.

A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020

Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering

use transfer learning to detect smoke in images and videos

Tensorflow Implementation of DiscoGAN

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…

Implementatoin of object detection using Tensorflow 2.1.0 | this can be use in a car for object detection

Data and code for our paper "Exploring and Predicting Transferability across NLP Tasks", to appear at EMNLP 2020.

This repository is for the transfer learning or domain adaptive with fault diagnosis.

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

Author: Wenhao Yu ([email protected]). EMNLP'20. Transfer Learning for Technical Question Answering.

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

🤖A list of resources to help anyone getting started with GANs 🤖

CharacterGAN: Few-Shot Keypoint Character Animation and Reposing (Best Paper WACV 2022)

Codes of the paper "Adversarial Binary Coding for Efficient Person Re-identification"