308 Open source projects that are alternatives of or similar to flow1d

Pure Pytorch implementation of Correlation Layer that commonly used in learning based optical flow estimator

[ICCV 2021] TRAR: Routing the Attention Spans in Transformers for Visual Question Answering -- Official Implementation

Inferring bacterial recombination rates from large-scale sequencing datasets.

[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.

⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

OpenMMLab optical flow toolbox and benchmark

Differential abundance (DA) and correlation analyses for microbial absolute abundance data

Official implementation of MSR-GCN (ICCV2021 paper)

2018-JDDC大赛第4名的解决方案

Sequence to Sequence Models in PyTorch

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

seq2seq attention tensorflow textrank context

Code for efficiently computing 2-point and 3-point correlation functions. For documentation, go to

Optical Flow Dataset and Benchmark for Visual Crowd Analysis

Differential Gene Correlation Analysis

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

Official implementation of deep matching prior

all kinds of baseline models for long text classificaiton( text categorization)

Google Arts And Culture Downloader. Python script to download high-resolution images from google arts & culture.

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

網頁聊天機器人 | tensorflow implementation of seq2seq model with bahdanau attention and Word2Vec pretrained embedding

Hierarchical Attention Networks for Chinese Sentiment Classification

Maximum Covariance Analysis in Python

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

A mildly opiniated modern cloud service architecture blueprint + reference implementation

An implementation of the Show, Attend and Tell paper in Tensorflow, for the OpenAI Im2LaTeX suggested problem

Perform statistics on Mixpanel API data

PyTorch implementation of Foveation for Segmentation of Ultra-High Resolution Images

NFC signal and protocol analyzer using SDR receiver

A pytorch implementation of the attention based ocr

CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations

Unofficial implementation algorithms of attention models on SNLI dataset

Better heatmaps in Python

(TPAMI 2022) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer

A plugin for ServiceStack that creates a correlation id that allows requests to be tracked across multiple services

Official Repository for ECCV 2020 paper "AiR: Attention with Reasoning Capability"

Image based obstacle avoidance using optical flow

Compact Generalized Non-local Network (NIPS 2018)

[ICCV 2021] InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'

Long Range Arena for Benchmarking Efficient Transformers

Collection of custom layers and utility functions for Keras which are missing in the main framework.

A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

[MICCAI'18] Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Search photos on Unsplash based on OpenAI's CLIP model, support search with joint image+text queries and attention visualization.

[CVPR'2019]PEN-Net: Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting

Attention-based bidirectional LSTM for Classification Task (ICASSP)

Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.

LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

Train and visualize Hierarchical Attention Networks

Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification (AAAI'19)

Caffe implementation for "Guided Optical Flow Learning"

Official repository of Learning Multi-Human Optical Flow (IJCV 2019)

Visualize BERT's self-attention layers on text classification tasks

A pytorch implementation of https://arxiv.org/abs/1904.09925