PyTorch(1.6+) implementation of https://github.com/kang205/SASRec
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Jun 2, 2025 - TeX
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PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab.
PyTorch(1.6+) implementation of https://github.com/kang205/SASRec
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
LeagueAI software framework for League of Legends that provides information about the state of the game based on Image Recognition using OpenCV and Pytorch.
📝 References list for machine learning and deep learning in computer vision.
A comprehensive list [Hi-SAM@TPAMI'24, GoMatching@NeurIPS'24, DeepSolo(++)@ CVPR'23, DPText-DETR@AAAI'23, I3CL@IJCV'22] of our research works related to scene text detection, spotting, etc., including papers, codes.
A Convolutional Neural Network for Segmenting and Counting Cells in Microscopy Images
Simulation based Soft Continuum Robot Control via Reinforcement Learning
Guidebook and reference on PyTorch training optimizations
Deep Generative Models course, 2021
Research internship - Image segmentation by superpixels based on PyTorch
Implementing Deep Reinforcement Learning Algorithms in Python for use in the MuJoCo Physics Simulator
Astronomical échellogram digital twins with pixel-perfect machine learning: rehabilitating archival data and pathfinding for EPRV
An introduction to Automatic Differentiation with theory and code examples.
This repository will contain my studies and codes for predicting traffic.
Reinforcement Learning agent that plays Briscola, a famous Italian card game
[Kaggle Dataset] Motherboard production defect dataset for object detection. Currently available for YOLOv5, YOLOv7, YOLOv8 & CLIP. Also available on Kaggle.
B.Sc. Final Project: Generating adversarial examples using GAN (Generative Adversarial Network) in Pytorch on the MNIST dataset.
FGV EMAp undergraduate project.
Created by Facebook's AI Research lab (FAIR)
Released September 2016
Latest release 18 days ago