Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch
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Updated
Aug 14, 2021 - Python
Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch
Implementation of Segformer, Attention + MLP neural network for segmentation, in Pytorch
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset
GPT, but made only out of MLPs
Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.
[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
A GPT, made only of MLPs, in Jax
Low dependency(C++11 STL only), good portability, header-only, deep neural networks for embedded
JavaScript implementation of simple multilayer perceptron (MLP)
This code implements a basic MLP for speech recognition. The MLP is trained with pytorch, while feature extraction, alignments, and decoding are performed with Kaldi. The current implementation supports dropout and batch normalization. An example for phoneme recognition using the standard TIMIT dataset is provided.
Final Year project based upon Network Intrusion Detection System
Multilayer perceptron deep neural network with feedforward and back-propagation for MNIST image classification using NumPy
Algorithms & Data Structures Guide
yet another scalar autograd engine - featuring complex numbers and fixed DAG
Implementation of a digit recognition using my Neural Network with the MNIST data set.
Deep Learning using Rectified Linear Units (ReLU)
Slides and notebooks for my tutorial at PyData London 2018
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