neural-network

A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical...

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

A PyTorch Implementation of "Neural Arithmetic Logic Units"

A cleaner way to build neural networks for PyTorch.

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.

C++ wrapper library for Darknet

A handwriting recognition example for iOS using NeuralNet

code for "Neural Cages for Detail-Preserving 3D Deformations"

Collection of free Notes,Courses,Videos,Projects,Articles and Repos Links To learn Machine learning ,Deep learning,Python,SQL,CNN,NLP,GAN,GNN,Transfom...

Test your HN title against a neural network

A learned sampling approach for point clouds (CVPR 2019)

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse r...

Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.

A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building

A Neural Network Toolkit.

最全的中文版深度学习资源索引，包括论文，慕课，开源框架，数据集等等

🕵️‍♂️ Interpreting Convolutional Neural Network (CNN) Results.

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural...

SLING - A natural language frame semantics parser

Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.

Research project: create a chess engine using Deep Reinforcement Learning

Interpret text data with LLMs (sklearn compatible).

In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it out. More than simply pulling...

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

This is my reading list for my PhD in AI, NLP, Deep Learning and more.

Code for "Groove2Groove: One-Shot Music Style Transfer with Supervision from Synthetic Data"

Aydin — User-friendly, Fast, Self-Supervised Image Denoising for All.

HolisticMotionCapture is an application and package that can capture the motion of a person with only a monocular color camera and move the VRM avatar...

AHN: Artificial Hippocampus Networks for Efficient Long-Context Modeling

Build neural networks based only on Numpy

Minimalistic implementation of a simple feedforward Neural Network

Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.

Binary Neural Network Framework for FPGA(Differentiable LUT)

A lightweight deep learning training framework implemented from scratch in C++, featuring a PyTorch-style API.

A single / multi layer / recurrent neural network written in Golang.

A multi-layer neural network in PHP. Features momentum learning, custom activation functions, and detection & prevention of over-fitting your data.

An MDN Layer for Keras using TensorFlow's distributions module

Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.

PyTorch Explain: Interpretable Deep Learning in Python.

In this tutorial, you will learn the fundamentals of how you can build neural networks without the help of the deep learning frameworks, and instead b...

A Convolutional Neural Network implemented entirely from scratch in x86-64 assembly using AVX-512, performing cat vs dog image classification without...

This code extends the neural style transfer image processing technique to video by generating smooth transitions between several reference style image...

Deep Learning - one shot learning for speaker recognition using Filter Banks

Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed neural networks i...