XavierSpycy

EMNIST-Classifier

Handwritten character recognition on EMNIST ByClass using Convolutional Neural Networks with PyTorch.

NumPyMultilayerPerceptron

A Multilayer Perceptron from scratch using NumPy. Offers almost all basic functionalities . Suitable for classification and regression tasks. 一个用NumPy从零实现的多层感知机。提供几乎所有基本功能。适用于分类和回归任务。

NumPyNMF

NumPyNMF implements nine different Non-negative Matrix Factorization (NMF) algorithms using NumPy library and compares the robustness of each algorithm to five various types of noise in real-world data applications.

CAT-ImageTextIntegrator

An innovative deep learning framework leveraging the CAT (Convolutions, Attention & Transformers) architecture to seamlessly integrate visual and textual modalities. This model exploits the prowess of CNNs for image feature extraction and Transformers for intricate textual pattern recognition, setting a new paradigm in multimodal learning.

Awesome-Tutorials-for-TensorFlow2

Data-structures

Data structures implementation in Python

Data-Visualization-Techniques

Complex data visualization

Deep-Learning

Deep learning projects

MLForce

MLForce stands for Machine Learning Force, which is a Python toolkit for machine learning beginners.

Robust-Trainers-for-Noisy-Labels

This experiments with ResNet34 on highly noisy (50%+) FashionMNIST and CIFAR datasets. Focuses on Forward Loss Correction, CoTeaching, initial trials with JoCoR, O2UNet, and Dual-T for unknown transition matrices.

IBM-DataScience

XavierSpycy

This is my profile.