alessiosavi
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Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
An open-source, low-code machine learning library in Python
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Python code for common Machine Learning Algorithms
Probabilistic reasoning and statistical analysis in TensorFlow
A small package to create visualizations of PyTorch execution graphs
A complete course for learning Bitcoin programming and usage from the command
MTCNN face detection implementation for TensorFlow, as a PIP package.
Natural Intelligence is still a pretty good idea.
Library for clinical NLP with spaCy.
Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models
A JupyterLab extension for displaying cell timings
SPIGA: Shape Preserving Facial Landmarks with Graph Attention Networks.
Train a object detection model with the Tensorflow Object Detection API and Tensorflow 2.
A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.
My implementations of deep neural networks for practice.
Solution for CIKM's EvalRS 2022 challenge
Bachelor's final project. Financial Indexes movement classification via Deep Learning.
