2517 Open source projects that are alternatives of or similar to Iseebetter

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

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

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

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

3D super-resolution using Generative Adversarial Networks

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Top 200 deep learning Github repositories sorted by the number of stars.

Keras implementation of video classifier

Spectral Normalization for Keras Dense and Convolution Layers

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Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

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

🙄 Difficult algorithm, Simple code.

Detecting cinema shot types using a ResNet-50

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Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Projecting images to latent space with StyleGAN2.

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）

keras project that parses and analyze english resumes

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

A Neural Networking library based on NumPy only

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Handwritten Chinese Characters Generation

A list of all named GANs!

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Object classification with CIFAR-10 using transfer learning

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

PyTorch implementation of LeNet-5 with live visualization

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

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Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

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A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

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

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A collection of arbitrary text to image papers with code (constantly updating)

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This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.

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[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild