705 Open source projects that are alternatives of or similar to papers

A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.

The best resources around Machine Learning

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

Summary of machine learning papers

Collection of books/papers that I've read/I'm going to read/I would remember that they exist/It is unlikely that I'll read/I'll never read.

😎 face releated algorithm, dataset and paper

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

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.

List of awesome papers on Polarization Imaging

Cool vision, learning, and graphics papers on Cats!

Awesome list for cryptographic secure computation paper. This repo includes *Lattice*, *DifferentialPrivacy*, *MPC* and also a comprehensive summary for top conferences.

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

awesome grounding: A curated list of research papers in visual grounding

code for our ICCV 2021 paper "DeepCAD: A Deep Generative Network for Computer-Aided Design Models"

A two-player game for fans of Pong and the Utah teapot!

A place to keep track of all the annotated papers.

Racket integration with all things Vulkan 💥

图形学书单

【仅作为交流学习使用】机器智能--相关书目及经典论文包括AutoML、情感分类、语音识别、声纹识别、语音合成实验代码等

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

🎨 An authorial collection of fundamental recipes on Creative Coding and Recreational Programming.

Code for the paper "Improving GANs Using Optimal Transport"

Distinguishing Between Natural and Computer-Generated Images Using Convolutional Neural Networks in Keras.

All the homeworks, studies and projects I've done at Metu-CENG

This repo is about NAS

Book Library of P&W Studio

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

Computer Graphics vs Real Photographic Images : A Deep-learning approach

Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Hot topics and good research groups. Paper summary

Collect papers for data engineering such as OLTP/OLAP/ETL/DistributedStorage.

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

機械学習関連の論文Survey用レポジトリ

Coherent Line Drawing implementation in Go.

SVBRDF Estimation using a Physically-based Differentiable Renderer

A fork of Purpur that aims to improve performance and add FabricMC compatibility.

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

ThreeJS based 8-ball pool

Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)

Proof automation – for Agda, in Agda.

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

知网/万方 论文/期刊批量检索下载

Flexible, open & solid paper Quest Plugin [with GUI]

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

An experiment using Volume to reconstruct Pulp Fiction's dance scene in Augmented Reality

Image Segmentation Enhancements and Optimizations: A Stochastic Approach

A WebGL shaders editor for beginners and otherwise.

Voxel Sniper fork for modern Minecraft versions utilizing the improvements of FastAsyncWorldEdit

Collection of vision & graphics algorithms

🔮 Shader Authoring Lab

Research tools for analysing Cerberus banking trojan.

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

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

Fielded Sequential Dependence Model (code and runs)

LSH index for approximate set containment search

Guided Image-to-Image Translation Papers

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.

Code accompanying our ECCV-2020 paper on 3D Neural Listeners.

my own deep learning mastery roadmap

CUDA implementation of the paper "Depth Super-Resolution Meets Uncalibrated Photometric Stereo"

Soft-only 3d renderer.