PyTorch

A set of data machine learning/deep learning projects exploring various datasets — a place to test ideas, models, and analytical approaches.

A Contextual-Enhanced LightGCN for Movie Recommendation Systems

Modular AI toolkit designed to assist animation studio workflows through computer vision.

Echo is a computer vision app for brain tumor detection and classification on MRI scans: end-to-end computer vision pipeline, interactive web interface, and production-grade infrastructure.

Automated LLM Benchmarking on GPU - tokens/sec, latency percentiles, VRAM profiling, multi-format support (HuggingFace, GGUF, GPTQ)

https://ayinedjimi-consultants.fr

GPU-Accelerated Hash Cracking Engine - MD5/SHA1/SHA256/SHA512/NTLM/bcrypt with CUDA PyTorch acceleration, dictionary/bruteforce/mask/combination attacks, 50+ mutation rules. For authorized pentesting only.

https://ayinedjimi-consultants.fr

Extreme KV Cache Compression for LLM Inference — C++17/CUDA implementation of TurboQuant (arXiv 2504.19874). 7.5x compression, <2% quality loss.

https://ayinedjimi-consultants.fr

Detect and classify objects in Panoramax pictures

Practical tasks on Deep Learning (DL) and Neural Networks (NN). 🤖

txt/pdf -> mp3

In real time inference simulator using the MVTec dataset, aproach via DINOv2 and Claude Sonnet 3.5 (Amazon Bedrock's API)

A basic python system that uses facenet-pytorch for training facial recognition against your group and to do real time facial recognition from video camera.

Forked from official ultralytics repository. Ultralytics YOLO 🚀 —— Attention is all you need

Deep learning system for seismic velocity inversion using a SincNet-GAT-UNet architecture, physics-informed temporal encoding, graph attention fusion, and FiLM-conditioned spatial prediction

Introduction to classification using machine learning and deep learning (PyTorch, TensorFlow, Keras)

A Python library for Secure and Explainable Machine Learning

Documentation available @ https://secml.gitlab.io

Follow us on Twitter @ https://twitter.com/secml_py

Fundamental theory and practice in Data Science (DS). 🧮

An AI-driven pipeline for detecting and quantifying cancer and inflammatory tissue on biopsy slides to support standardized diagnostics. This independent fork focuses on advanced ensembling (SMP <-> nnU-Net), probability fusion, and Test-Time Augmentation (TTA), providing a highly reproducible training and inference workflow.

Code repository for GAME-Net (Graph-based Adsorption on Metal Energy-neural Network), a graph neural network for predicting the adsorption energy of closed-shell molecules on metal surfaces.

Целью проекта является обучение нейросети на данных о погоде, и на основание этих данных предсказывать будущую температуру