Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets

A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.

State of the Art Neural Networks for Deep Learning

[CVPR 2022 Oral] Generalizable Human Pose Triangulation

Generate 3D meshes from 2D images and retexture them directly in Unity.

Wonderful Matrices to Build Small Language Models

Multilayer perceptron deep neural network with feedforward and back-propagation for MNIST image classification using NumPy

Unofficial Implementation of "Bag of Tricks for Efficient Text Classification", 2016, Armand Joulin et al. (https://arxiv.org/pdf/1607.01759.pdf)

GEDFN: Graph-Embedded Deep Feedforward Network

Machine Learning library for python

An attempt to use financial news to predict stock market

An attempt to detect fraud in online transaction in deep neural network using pytorch

Train and evaluate neural network language models for POS tagging, tag input sentences according to a trained model.

Neural network language models, including feed-forward neural network, recurrent neural network, long-short term memory neural network.

An Educational Framework Based on PyTorch for Deep Learning Education and Exploration

XOR gate which predicts the output using Neural Network 🔥

Virtual Assistant project done in the Middlesex University with Dr. Nawaz Khan by scholarship of the ErasmusPlus program.

Feedforward Neural Network implemented from Scratch for classification and regression tasks.

Neural Network for word embeddings and Language Model