968 Open source projects that are alternatives of or similar to Appnp

A list of papers on system design.

List of AI Residency & Research programs, Ph.D Fellowships, Research Internships

InfiniteBoost: building infinite ensembles with gradient descent

All DeepLearning4j projects go here.

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

🌱 a curated list of tools to help you with your research/life; I built a front end around this repo, please use the link below

Implementation of character based convolutional neural network

TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

DeepPose implementation on TensorFlow. Original Paper http://arxiv.org/abs/1312.4659

Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins

☕️🏗⛅️🎓 A modern, full-featured, easier-to-use, highly extensible, faster and more accurate Java 8+ Framework for Cloud Computing Simulation

Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.

Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow

Iterative Residual Network for Deep Joint Image Demosaicking and Denoising

PyTorch implementation of Super SloMo by Jiang et al.

ConvNets for Audio Recognition using Google Commands Dataset

Voice Activity Detection based on Deep Learning & TensorFlow

Research code need not be ugly.

A repository of state-of-the-art deep learning methods in computer vision

MobilNet-SSD object detection in opencv 3.4.1

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.

Detect the programming language of a source code

Draw a leader line in your web page.

IBM Fully Homomorphic Encryption Toolkit For Linux. This toolkit is a Linux based Docker container that demonstrates computing on encrypted data without decrypting it! The toolkit ships with two demos including a fully encrypted Machine Learning inference with a Neural Network and a Privacy-Preserving key-value search.

Research Code for ICCV 2019 paper "Relation-aware Graph Attention Network for Visual Question Answering"

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

Application of machine learning to the Coinbase (GDAX) orderbook

LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

Notes and Summaries on ML-related Research Papers (with optional implementations)

조별과제 때마다 "나무위키 꺼라."라고 말하시는게 피곤하신 여러분을 위해 만들어진 Browser Extension, 나무위키를 꺼 드립니다.

A PyTorch implementation of OpenAI's REPTILE algorithm

论文“Attention-over-Attention Neural Networks for Reading Comprehension”中AoA模型实现

Julia Implementation of Transformer models

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

Local and Anki-compatible note-taking tool based on TiddlyWiki

3D Unet Equipped with Advanced Deep Learning Methods

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Information about my experiences on ethical hacking 💀

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

A deep learning library based on Pytorch focussed on low resource language research and robustness

Graphical experiment builder for the social sciences

Fault attack agaisnt EdDSA demonstrated on an Arduino Nano board, allowing for partial key recovery and fake signatures.

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

Virtual Reality Software Library

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

A Swift deep learning library with Accelerate and Metal support.

基于卷积神经网络的语音识别声学模型的研究

Band-Adaptive Spectral-Spatial Feature Learning Deep Neural Network for Hyperspectral Image Classification

Attention-based multimodal fusion for sentiment analysis

convolutional lstm implementation in pytorch

LCNN: End-to-End Wireframe Parsing

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

🍃 Using a Neural Network to improve web accessibility in JavaScript.

Minimalist implementation of VQ-VAE in Pytorch

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

The Python Toolbox for Robotics

Learn applied deep learning from zero to deployment using TensorFlow 1.8+

Generative Probabilistic Novelty Detection with Adversarial Autoencoders