D

deep-learning

对不同尺寸的交通信号灯图片做红黄绿分类

UMSI-Wikipedia Text Difficulty Prediction (NLP Project)

In SupeRAuGAN we implement a novel data augmentation technique tailored to Generative Adversarial Networks in order to reduce discriminator overfitting and stabilize training

Learn from books in statistics, econometrics, ML and DL. Follows https://trics.me/textbook/index.html, but takes a current selection of books and goes through TOC and code examples.

Delievered at https://epogrebnyak.gitlab.io/statbooks/

Capstone 1: Caterpillar Tube Pricing Prediction & Categorization. Capstone 2:Pipeline Multi-Leak Classification.

A very simple example of using RL in real life using servo motors.

Learn to drive an radio-controlled car using only a camera. Uses a DonkeyCar simulation, SAC and a VAE. By Winder Research.

Cat facial detection and landmark recognition in Python

A clean, modular implementation of Physics-Informed Neural Networks (PINNs) for solving the 1D and 2D wave equation using PyTorch.

Mobile app providing prepaid phone card fast and easy scanning. Also available on https://github.com/hramaroson/photokredy

Classifier to assign label to particle

Test project for neural networks - Handwritten digit recognition on MNIST dataset

Programming Assignments of Neural Networks and Deep Learning course of deeplearning.ai in coursera

3D Hand Pose Estimation using Multi-View CNNs

This is a passion project where I attempt to use deep-learning ML-models to make accurate predictions on the outcome of NHL games. I ran the model predictions as a live betting strategy in the Fall of 2022 and achieved a roughly 60% return on investment.

📚 📐 Repository to historically learn about step-by-step mathematics for machine learning.

✭ MAGNETRON ™ ✭: Detectron2 is a platform for PROXIA that can do POSE ESTIMATION, object detection, segmentation and other visual recognition tasks.