Mario Aviles's Projects
use machine learning to get a comparable results with the state of art deep leanring technique;
100 Days of ML Coding
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.
I am trying to describe complex matters in simple doodles!
AI-Crash-Course, published by Packt
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
Ai Object Detection - State of the Art Yolov8 by Ultralytics Integration with Streamlit WebRTC
Artificial Intelligence for Humans
A Python package for unwrapping ReLU DNNs
GPU Optimized AlexNet Implementation to train on ImageNet 2012 using Tensorflow 2.x
An Acute Lymphoblastic Leukemia classifier trained using Intel Distribution for Python and Intel Optimized Tensorflow (Tensorflow 2.1), and using OpenVINO to deploy the model on UP2 & Raspberry Pi.
Auto parallelization for large-scale neural networks
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Applied Deep Learning
A step-by-step guide to get started with Applied Machine Learning
Exploratory analysis of Bayesian models with Python
:atom: The hackable text editor
My solutions to all of the projects in Automate the Boring Stuff with Python
My solutions for the projects in automate the boring stuff with python
Some awesome AI related books and pdfs for learning and downloading
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome Machine Learning frameworks, libraries and software.
Awesome free machine learning and AI courses with video lectures.
A curated list of awesome Python frameworks, libraries, software and resources
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
TensorFlow - A curated list of dedicated resources http://tensorflow.org