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a-brief-introduction-to-autoencoders

A gentle introduction to autoencoders with examples

a-brief-introduction-to-siamese-network

A gentle introduction to siamese networks with examples

babel_fish

Creating a text-to-speech for Italian

bisection_method_applied_to_a_parabola

bitmat

An efficent implementation of the method proposed in "The Era of 1-bit LLMs"

differential_equation_eulero_runge_kutta_4th

Implementation of a code for the numerical solution of a differential equation describing the motion of a harmonic oscillator using Euler's method and than Runge Kutta 4-th order.

how-to-increment-the-accuracy-of-cnn-step-by-step

The aim of this project is to implement an image classifier based on convolu- tional neural networks. Starting by implementing a simple shallow network and then refining it until a pre-trained ResNet18 is implemented, showing at each step how the accuracy of the model improves. The provided dataset (from [Lazebnik et al., 2006]) contains 15 categories.

mixture-of-depths

Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"

multidimensional_monte_carlo_integration

Integration with Monte Carlo method

nemo

NeMo: a toolkit for conversational AI

nemo-text-processing

NeMo text processing for ASR and TTS

neural-network-for-recommendation-systems

A presentation of recommendation system concepts and a brief introduction to how to implement a neural network for this task. Also, how the YouTube recommender system works.

random_generators

Several implementations are implemented in the program for generating pseudo-random numbers

some_simple_programs_to_learn_how_to_manipulate_data

Examples of how to manipulate data