Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.

A Pytorch-Lightning implementation of self-supervised algorithms

[BMVC 2022] Official repository for "How to Train Vision Transformer on Small-scale Datasets?"

Accompanying lectures for Brain Code Camp 2023

Open source implementation of the paper "MM-Vid: Advancing Video Understanding with GPT-4V(ision)".

[Neurips'24 Spotlight] Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

High-quality Neural Networks for Computer Vision 😎

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

[CVPR 2022] Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning

A Graph Neural Network project on HIV data

Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

Kolmogorov Arnold Networks

Platform for designing and evaluating Graph Neural Networks (GNN)

Compare how ANNs, RNNs, LSTMs, and LSTMs with attention perform on time-series analysis

Traffic prediction with graph neural network using PyTorch Geometric. The implementation uses the MetaLayer class to build the GNN which allows for separate edge, node and global models.

[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)

It is fine-tune the GPT-Neo model for Thai language.