D

deep-learning

Classifier to assign label to particle

Deep learning system for seismic velocity inversion using a SincNet-GAT-UNet architecture, physics-informed temporal encoding, graph attention fusion, and FiLM-conditioned spatial prediction

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.

Biblioteca para adição de mais acessibilidade em páginas da web através de Deep Learning.

An OpenAI Gym for Shopping Cart Reinforcement Learning.

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

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

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

Joule is a dataset uploader/hoster/downloader.

Joule.Host | Documentation

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" v2

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

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/

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

CS 7643 — Spring 2019 Project

Goal: learn more about the underlying deep learning model of GPT2: the Transformer model and, more broadly, the attention mechanism.

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

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

Examples demonstrating Kullback-Leibler divergence.

对不同尺寸的交通信号灯图片做红黄绿分类