496 Open source projects that are alternatives of or similar to AIPaperCompleteDownload

A collection of resources on using BERT (https://arxiv.org/abs/1810.04805 ) and related Language Models in production environments.

Author's implementation of the paper "Deep Relative Attributes" (ACCV 2016)

Papers about Root Cause Analysis in MicroService Systems. Reference to Paper Notes: https://dreamhomes.top/

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

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

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

PaperKit is like Paper app of Facebook

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

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

FedScale is a scalable and extensible open-source federated learning (FL) platform.

paper note, including personal comments, introduction, code etc

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

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

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.

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

An open information extraction system that provides compact extractions

The essential plugin suite for Minecraft servers.

Projects and useful articles / links

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

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

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

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。

DeepMind's Tacotron-2 Tensorflow implementation

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

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

[CVPR 2021] Scan2Cap: Context-aware Dense Captioning in RGB-D Scans

Numenta published papers code and data

CORe50: a new Dataset and Benchmark for Continual Learning

📄 Unofficial Dropbox Paper desktop app

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

Reproduction code for WGAN-LP

A place to keep track of all the annotated papers.

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

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

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

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

A collection of AWESOME things about domian adaptation

Fielded Sequential Dependence Model (code and runs)

Roadmap for NLP 涵盖NLP的理论知识、应用场景和工程实践等

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

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

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

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

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

Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018

This repo is about NAS

ESFNet-Pytorch

Image Segmentation Enhancements and Optimizations: A Stochastic Approach

A fast, high-quality neural vocoder.

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

Data and analysis for the Splatter paper

LSH index for approximate set containment search

My take on a practical implementation of Linformer for Pytorch.

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

A curated list to learn about distributed systems

Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.

A list of recent papers regarding knowledge-based machine reading comprehension.