Projects of the deep learning course
-
Updated
May 31, 2024 - Jupyter Notebook
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
Projects of the deep learning course
Back-ended CLI/DB for analisis based in TCM and acupuncture's methods of pulse's and thong's exams diagnosing syndromes, meridians states using DFF-perceptrons, as also, automatized treatments.
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
A computational approach tool to predict Head and Neck Cancer affected patients from their single cell RNA seq data.
Examples of Machine Learning code using Comet.ml
Personal projects
Study and implementation about deep learning models, architectures, applications and frameworks
This repository includes files of work for Suicidal Ideation detection based on social media dataset using semantic, contextual and graph neural network based hybrid approach
Deep Learning architectures implemented in PyTorch Lightning
Unlock deep learning's secrets! Dive into fundamentals, master advanced techniques, and ignite creativity with hands-on projects. Join a vibrant community, push boundaries, and unleash AI's full potential. Begin your journey now!
Comprehensive AI algorithms with explanations, resources, and Python implementations.
TinyTensor is an open-source deep learning library built from scratch in Python, inspired by Joel Grus' approach.
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
Practical comparison of several DQN based approaches on a basic navigation problem in Minecraft
Introduction to Scientific Programming and Machine Learning with Julia
C++ framework for deep neural networks
The field of Artificial Intelligence (AI) is a frontier of computer science that focuses on creating systems capable of performing tasks that would typically require human intelligence. This encompasses a wide range of capabilities such as visual perception, speech recognition, decision-making, and language translation.
A Python package that uses task-based neurons to build neural networks.
C++ Neural Network Library