A neural network library written from scratch in Rust along with a web-based application for building + training neural networks + visualizing their o...
command line neural network
Representation learning on large graphs using stochastic graph convolutions.
Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.
This repository contains the collection of explorative notebooks pure in python and in the language that we, humans can read. Have tried to compile al...
A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.
Kalman Variational Auto-Encoder
OKAI - An Interactive Introduction to Artificial Intelligence (AI)
TinyTensor is a tool for running already trained NN (Neural Network) models to be able to use them for inference of various tasks such as image classi...
DL4TO is a Python library for 3D topology optimization that is based on PyTorch and allows easy integration with neural networks.
repo that holds code for improving on dropout using Stochastic Delta Rule
Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"
Awesome Neural Logic and Causality: MLN, NLRL, NLM, etc. 因果推断,神经逻辑,强人工智能逻辑推理前沿领域。
Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"
Python REST API to detect images with adult content
Deep Learning workshop including image classification, face recognition, Object detection, language modelling, image captioning and neural machine tra...
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from ServiceNow Research
A neural network to smartly create coherent terminal colorschemes based on an image.
This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.
A collection of common algorithms and data structures implemented in Java.
An interesting display of evolution through neural networks and a genetic algorithm
Solution to Kaggle's Quora Duplicate Question Detection Competition
🎶 dead simple audio classification
Get started with Machine Learning with Python - An introduction with Python programming examples
This project demonstrates how a convolutional neural network can be used to detect the boundaries of a function in compiled code
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
Autonomous RC Car using Neural Networks, Python and Open CV
Spiking Neural Networks in C++ with strong GPU acceleration through CUDA
UCI chess engine using neural networks for position evaluation
Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
INSTA - Instant Volumetric Head Avatars [Demo]
LRRNet (IEEE TPAMI 2023, Highly Cited Paper), Python 3.7, Pytorch >=1.8
Neural networks for guitar amp/pedal emulation on Daisy Seed
吴恩达深度学习编程作业原版和答案
Deep Learning model to classify food (Web App)
A minimalist deep learning library written from scratch in Python
Regular practice on Data Science, Machien Learning, Deep Learning, Solving ML Project problem, Analytical Issue. Regular boost up my knowledge. The go...
Neural network inference template for real-time cricital audio environments - presented at ADC23
An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms
Deploy nanodet, the super fast and lightweight object detection, in your web browser with ncnn and webassembly
Keras implementation of Mobile Networks
Package for working with hypernetworks in PyTorch.
<머신 러닝 교과서 3판>의 코드 저장소
Mathematics paper recapitulating the calculus behind a neural network and its back propagation
VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo
Audio classification with VGGish as feature extractor in TensorFlow
Face Recognition and Detection on iOS Using Native Swift Code, Core ML, and ARKit
The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"
🔮 Assign R&R to AI to proceed with programming tasks