783 Open source projects that are alternatives of or similar to ghiaseddin

NLP Paper

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

Action recognition using soft attention based deep recurrent neural networks

This repository includes some papers that I have read or which I think may be very interesting.

The code for paper 'DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution'

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

KNIME Deep Learning Integration

📦 Powerful Package manager which updates plugins & server software for minecraft servers

Summarizing the papers I have read (Japanese)

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

Performance-tuned Minecraft 1.8 spigot server

Kaggle solutions

An open-source Python package for making computer vision and image processing simpler

An open information extraction system that provides compact extractions

This is a repository for a No-Code object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operating systems.

Rock Paper Scissors Game with Artificial Intellegence

텍스트 요약 분야의 주요 연구 주제, Must-read Papers, 이용 가능한 model 및 data 등을 추천 자료와 함께 정리한 저장소입니다.

FSL-Mate: A collection of resources for few-shot learning (FSL).

This is a repository for a semantic segmentation inference API using the OpenVINO toolkit

Book Library of P&W Studio

Website for "A survey of learning to hash for Computer Vision" https://learning2hash.github.io

知网/万方 论文/期刊批量检索下载

Source code of the paper "Leveraging textual properties of bug reports to localize relevant source files".

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

Calculate Flops for CNN

Live Training by Packt, with Jeffrey Yau.

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.

Type4Py: Deep Similarity Learning-Based Type Inference for Python

Code for the paper "A Similarity Measure for Material Appearance" presented in SIGGRAPH 2019 and published in ACM Transactions on Graphics (TOG).

Deep Learning Models implemented in python.

Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020

Head and Person detection using yolov5. Detection from crowd.

Projects and useful articles / links

Tensorflow implementation for Active Shift Layer(ASL)

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

Optical character recognition Using Deep Learning

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。

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

Jupyter notebook series for machine learning and deep learning.

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

Online Hand Writing Recognition using BLSTM

Mixin loader for Paper

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.

A paper list with code of lane detection.

Master Thesis project that provides a training framework for two player games. TicTacToe and Othello have already been implemented.

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

ML Research paper summaries, annotated papers and implementation walkthroughs

Deep Learning for Visual-Inertial Odometry

There are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.

3D scene graph generator implemented in Pytorch.

Automated deep learning!

Combining Weighted Multi-resolution STFT Loss and Distance Fusion to Optimize Speech Enhancement Generative Adversarial Networks

🐵 An AI chess-board-game framework(by many programming languages) implementations.

yet another custom data science template via cookiecutter

[ICCV 2021]: IIVI: Internal Video Inpainting by Implicit Long-range Propagation

Deep leraning cryptocurrency prediction with blockchain-based dataset

Autonomous driving neural network comparison tool

YOLO for object detection tasks

Purpur is a drop-in replacement for Paper servers designed for configurability, and new fun and exciting gameplay features.

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.