368 Open source projects that are alternatives of or similar to NeuroAI

This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.

Complete download for papers in various top conferences

Papers with code. Sorted by stars. Updated weekly.

Official code for UnICORNN (ICML 2021)

Code for the ICPR 2020 paper: "CURL: Neural Curve Layers for Image Enhancement"

Guided Image-to-Image Translation Papers

Papers, authors and author affiliations from ICML, NeurIPS and ICLR 2006-2021

Using LSTM network for time series forecasting

CVPR 2021 Oral paper "LED2-Net: Monocular 360˚ Layout Estimation via Differentiable Depth Rendering" official PyTorch implementation.

Ordered Neurons LSTM

Code for CVPR 2019 paper "Deep Metric Learning to Rank"

Multi-Label Learning from Single Positive Labels - CVPR 2021

Minimal Workflow orchestrator for AWS Step Functions

Source code for "Transferring the Style of Homophonic Music Using Recurrent Neural Networks and Autoregressive Model"

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

Code and Data to accompany "Dilated Convolutions for Modeling Long-Distance Genomic Dependencies", presented at the ICML 2017 Workshop on Computational Biology

A curated list of the Video Summarization subject which is a computer science using machine learning and deep learning

Assignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke

Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

bitcoin prediction algorithms

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

Code for Reservoir computing (Echo state network)

Gathers Tensorflow deep learning models.

얼굴 인식에 대한 기술 동향 및 관련 모델 자료

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

Using a recurrent neural network in TensorFlow to predict national origin by last name.

a deep recurrent model for exchangeable data

Python implementation of LSC algorithm, (C) Zhengqin Li, Jiansheng Chen, 2014

收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！

A robot learning from demonstration framework that trains a recurrent neural network for autonomous task execution

Tensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.

[CVPR 2020] Re-hosting of the LUVLi Face Alignment codebase. Please download the codebase from the original MERL website by agreeing to all terms and conditions. By using this code, you agree to MERL's research-only licensing terms.

[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification

Advanced file format fuzzer based-on deep neural language models.

Malicious URL detector using keras recurrent networks and scikit-learn classifiers

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

Sequence Segmentation using Joint RNN and Structured Prediction Models (ICASSP 2017)

Sequence Labeling in Tensorflow

Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]

An introduction to the practicing neuroscientist to data analysis in Python

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation (CVPR2020) https://arxiv.org/abs/2003.14266

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Official code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021

finance

The relocalization task aims to estimate the 6-DoF pose of a novel (unseen) frame in the coordinate system given by the prior model of the world.

Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces

Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)

"Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content"，CVPR 2020. (Modified from original with fixes for inference)

Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi

An Algorithm to Quantify Robustness of Recurrent Neural Networks

Official implementation of CATs

🐝 Explore Trending Papers at CVPR

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras