Framework for training and evaluating self-supervised learning methods for speaker verification.

SOTA method for self-supervised speaker verification leveraging a large-scale pretrained ASR model.

Tiny automatic differentiation (autodiff) engine for NumPy tensors implemented in Python.

Machine learning pipeline to classify hyperspectral images of fields.

Concurrent dictionary with one implementation based on concurrent hash maps and one based on concurrent tries.

A deep neural networks framework similar to Keras and written from scratch in C++/CUDA.

Ray Tracer written in C++/CUDA enabling real-time photorealistic rendering of multiple shapes with lights, shadows, and mirrors.

Deep learning methods to classify images of ships.

Chess engine and AI written in C++ to compete with other students.

Reprogramming of the memory C allocation tool (malloc, realloc, free)

Python bindings for Pylene, a C++ image processing library.

Fully functional shell in C. Variables, paths, globbing, jobs... handled. Interpreting done with an LL parser and an AST