D

deep-learning

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.

Classifier to assign label to particle

Introduction to classification using machine learning and deep learning (PyTorch, TensorFlow, Keras)

Example showing the use of a pretrained classification network together with an EdgeMatcher to inspect multiple image regions. See also the available tutorials on the SICK support portal. Topics: #algorithm #image-2d #machine-learning #deep-learning #neural-network #sample #sick-appspace #edgematcher #locator #matching

Example showing the use of a pretrained classification network. See also the available tutorials on the SICK support portal. Topics: #algorithm #image-2d #machine-learning #deep-learning #neural-network #sample #sick-appspace

Fine tunning of a deep neural network (using convolutionnal layers) to reconize a digit from a picture of an handwritten one.

3D Hand Pose Estimation using Multi-View CNNs

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

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

UMSI-Wikipedia Text Difficulty Prediction (NLP Project)

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

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

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

An OpenAI Gym for Shopping Cart Reinforcement Learning.

BIL635 - Modified Version of "Finding a Target with Zero-shot Invariant and Efficient Visual Search" v2

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/

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.

BIL635 - Modified Version of "Finding a Target with Zero-shot Invariant and Efficient Visual Search"