150 Open source projects that are alternatives of or similar to neuro-symbolic-ai-soc

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

Tensorflow Implementation of Deeper LSTM+ normalized CNN for Visual Question Answering

Multiple Meta-model Quantifying for Medical Visual Question Answering

A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering

Oscar and VinVL

Strong baseline for visual question answering

TensorFlow implementation of the CNN-LSTM, Relation Network and text-only baselines for the paper "FigureQA: An Annotated Figure Dataset for Visual Reasoning"

PLUR (Programming-Language Understanding and Repair) is a collection of source code datasets suitable for graph-based machine learning. We provide scripts for downloading, processing, and loading the datasets. This is done by offering a unified API and data structures for all datasets.

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

Implementation for the paper "Hierarchical Conditional Relation Networks for Video Question Answering" (Le et al., CVPR 2020, Oral)

TypeDB: a strongly-typed database

Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)

A lightweight, scalable, and general framework for visual question answering research

A curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Commonsense Reasoning and related area.

λ² is a tool for synthesizing functional programs from input-output examples.

ROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration

Research Code for ICCV 2019 paper "Relation-aware Graph Attention Network for Visual Question Answering"

[TPAMI Special Issue on ICCV 2021 Best Papers, Oral] Just Ask: Learning to Answer Questions from Millions of Narrated Videos

The Abstraction and Reasoning Corpus

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

CloudCV Visual Question Answering Demo

Code and Data for paper: Zero-shot Visual Question Answering using Knowledge Graph [ ISWC 2021 ]

Generative Art Synthesizer - a python program that generates python programs that generates generative art

📷 ❓ Visual Question Answering Demo and Algorithmia API

Monorepo for the client, server, etc. of the Debate Map website.

OWL and Semantic Web toolkit for Common Lisp, used for construction and reasoning over ontologies and ontology-structured data

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

Deepcoder paper implementation

Visual Q&A reading list

An curated list of papers on program synthesis.

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

[CVPR 2021 Oral] Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning for image-text and video-text tasks.

PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).

Code for NeurIPS 2019 paper ``Self-Critical Reasoning for Robust Visual Question Answering''

Bottom-up features extractor implemented in PyTorch.

Accompanying code for "A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models" CVPR 2017 VQA workshop paper.

Synthesis of Heap-Manipulating Programs from Separation Logic

DVQA Dataset: A Bar chart question answering dataset presented at CVPR 2018

读过的CV方向的一些论文，图像生成文字、弱监督分割等

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

TypeDB: a strongly-typed database

A framework for Multimodal Intelligence research from Inspur HSSLAB.

Hadamard Product for Low-rank Bilinear Pooling

A Pytorch implementation of CVPR 2020 paper: Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text

Popper is an inductive logic programming (ILP) system.

[CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias

Pytorch implementation of NIPS 2017 paper "Modulating early visual processing by language"

An alternative EQA paradigm and informative benchmark + models (BMVC 2019, ViGIL 2019 spotlight)

A Python framework for program synthesis with a focus on Automated Machine Learning.

TypeQL: the query language of TypeDB - a strongly-typed database

PyTorch VQA implementation that achieved top performances in the (ECCV18) VizWiz Grand Challenge: Answering Visual Questions from Blind People

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

Code for Neural Inverse Knitting: From Images to Manufacturing Instructions

An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

A PyTorch Implementation of Convolutional Conditional Neural Process.

APPS: Automated Programming Progress Standard (NeurIPS 2021)

A Dataset of Python Challenges for AI Research

Visual Question Answering in Pytorch