378 Open source projects that are alternatives of or similar to paper

Papers about known hacking, security, hardware, software, computer, network and other ressources.

This is a paper list about Resource Allocation in Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)

PyTorch implementation of "A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."

Official implementation of "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019) in PyTorch.

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

Incremental Methods of Deep Learning for Detection and Classifcation in a Robotics Environment

Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017

Code for the Neural GPU model originally described in "Neural GPUs Learn Algorithms"

An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

The essential plugin suite for Minecraft servers.

An open information extraction system that provides compact extractions

DeepMind's Tacotron-2 Tensorflow implementation

Projects and useful articles / links

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

The papers in this list are about 3d detection, especially those using point clouds.

A collection of AWESOME things about domian adaptation

任意のブロックにスクリプトを追加するプラグインです。

Conference Papers and Appendicies (USENIX Security, BlackHat, HITBSecConf, and BeVX)

Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"

(ACM MM 20 Oral) PyTorch implementation of Self-supervised Dance Video Synthesis Conditioned on Music

The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.

Reproduction code for WGAN-LP

Implementation of the paper "YOLACT Real-time Instance Segmentation" in Tensorflow 2

Small library containing various image processing algorithms (+ Python 3 bindings) that has almost no dependencies -- Moved to Gnome's Gitlab

A place to keep track of all the annotated papers.

Code for the paper "On First-Order Meta-Learning Algorithms"

Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)

Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

This project is an unofficial implementation of the paper: Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Roadmap for NLP 涵盖NLP的理论知识、应用场景和工程实践等

Fielded Sequential Dependence Model (code and runs)

My take on a practical implementation of Linformer for Pytorch.

Official code for "EagerMOT: 3D Multi-Object Tracking via Sensor Fusion" [ICRA 2021]

computer vision learning, include python machine learning action; computer vision based on deep learning ;coursera deeplearning.ai and other cv learning materials collect ...

Reading notes on deep learning papers---深度学习论文阅读笔记

A fast, high-quality neural vocoder.

The most popular Skywars plugin ever built for Spigot and Bukkit!

ESFNet-Pytorch

This repo is about NAS

Official Code: A Sparse Gaussian Approach to Region-Based 6DoF Object Tracking

Image Segmentation Enhancements and Optimizations: A Stochastic Approach

Data and analysis for the Splatter paper

A collection of paper summaries from a wide range of topics related to Machine Learning

Lightning Network Paper

LSH index for approximate set containment search

A curated list to learn about distributed systems

🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)

Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"

Exploiting Saliency for Object Segmentation from Image Level Labels, CVPR'17

分享计算机视觉每天的arXiv文章

AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds (ECCV 2020)

Deep Atrous Guided Filter for Image Restoration in Under Display Cameras (UDC Challenge, ECCV 2020).

A fork of the Paper (Bukkit) API for use in Glowstone

Implementations of recent research prototypes/demonstrations using MONAI.

Adding ReScript with rescript-react on top of @snowpack/app-template-react

A stable algorithm for GAN training

Quantize weights and activations in Recurrent Neural Networks.