PyTorch(1.6+) implementation of https://github.com/kang205/SASRec
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Updated
Sep 17, 2026 - TeX
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.
Simulation based Soft Continuum Robot Control via Reinforcement Learning
A Convolutional Neural Network for Segmenting and Counting Cells in Microscopy Images
Guidebook and reference on PyTorch training optimizations
Deep Generative Models course, 2021
Research internship - Image segmentation by superpixels based on PyTorch
Deep learning system for automatic guitar tablature transcription using CRNN architecture. Achieves 0.87 MPE F1-Score on GuitarSet.
Implementing Deep Reinforcement Learning Algorithms in Python for use in the MuJoCo Physics Simulator
Taylor mode automatic differentiation (jets) in PyTorch
Reinforcement Learning agent that plays Briscola, a famous Italian card game
Adaptive PID Control for Robotic Systems via Hierarchical Meta-Learning and Reinforcement Learning with Physics-Based Data Augmentation
An introduction to Automatic Differentiation with theory and code examples.
Astronomical échellogram digital twins with pixel-perfect machine learning: rehabilitating archival data and pathfinding for EPRV
B.Sc. Final Project: Generating adversarial examples using GAN (Generative Adversarial Network) in Pytorch on the MNIST dataset.
Created by Facebook's AI Research lab (FAIR)
Released September 2016
Latest release 1 day ago