1022 Open source projects that are alternatives of or similar to Adversarial Examples Pytorch

This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security".

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

Train and visualize Hierarchical Attention Networks

One million English sentences, each split into two sentences that together preserve the original meaning, extracted from Wikipedia edits.

tensorflow2.x implementations of Generative Adversarial Networks.

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

HDLTex: Hierarchical Deep Learning for Text Classification

A collection of resources that should help and guide your first steps as you learn ML and DL. I am a beginner as well, and these are the resources I found most useful.

OpenCV wrapper for .NET

Mapping a variable-length sentence to a fixed-length vector using BERT model

This is a list of awesome articles about object detection from video.

Pytorch implementation of the DeepDream computer vision algorithm

Tensorflow Implementation of open set domain adaptation by backpropagation

💡My Solution to Facial Emotion Recognization in Kaggle competition

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)

Various ML/DL Resources organised at a single place.

Deep Learning Toolkit for Medical Image Analysis

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

Data Reading Blocks for Python

Latex code for making neural networks diagrams

Flops counter for convolutional networks in pytorch framework

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.

Deep learning based denoiser for Cycles, Blender's physically-based production renderer.

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

A curated list of resources for Learning with Noisy Labels

Some of my experiments targeting adversarial instances

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

How to use TensorFlow

Implementation of the Sliced Wasserstein Autoencoders

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.

This is Andrew NG Coursera Handwritten Notes.

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

A high-level framework for advanced deep learning with TensorFlow

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

A curated list of GAN & Deepfake papers and repositories.

Open Source, Cloud Native, RESTful Search Engine Powered by Neural Networks

Tensorflow Implementation of ChannelNets (NeurIPS 18)

PAddle PARAllel text-to-speech toolKIT (supporting WaveFlow, WaveNet, Transformer TTS and Tacotron2)

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

List of articles related to deep learning applied to music

My Solution to Assignments of CS231n in Winter2016

PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)

A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

An ONNX (Open Neural Network eXchange) API and Backend for Typeful, Functional Deep Learning in Scala

[NeurIPS 2018] 3D-Aware Scene Manipulation via Inverse Graphics

convolutional lstm implementation in pytorch

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

Minimalist implementation of VQ-VAE in Pytorch

Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.

A metric for Perceptual Image-Error Assessment through Pairwise Preference (PieAPP at CVPR 2018).

Tunable U-Net implementation in PyTorch

This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete and executable examples in Python.

MONeT framework for reducing memory consumption of DNN training