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

Implementing Deep Reinforcement Learning Algorithms in Python for use in the MuJoCo Physics Simulator

[TLI] Transfer Learning Between Different Architectures Via Weights Injection 🐏 🐏 🐏

Taylor mode automatic differentiation (jets) in PyTorch

📚 Comprehensive lecture notes for Stanford CS231n: Deep Learning for Computer Vision (2025 Edition) — CNNs, Transformers, Diffusion Models, Vision-Language Models

Deep learning system for automatic guitar tablature transcription using CRNN architecture. Achieves 0.87 MPE F1-Score on GuitarSet.

Reinforcement Learning agent that plays Briscola, a famous Italian card game

Astronomical échellogram digital twins with pixel-perfect machine learning: rehabilitating archival data and pathfinding for EPRV

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.