neural-network
Repositories (1277)
Represent trained machine learning models as Pyomo optimization formulations
Fast Neural Style Transfer implementation in PyTorch :art: :art: :art:
Awesome Deep Learning for Time-Series Imputation, including an unmissable paper and tool list about applying neural networks to impute incomplete time...
Neural Architecture Search Powered by Swarm Intelligence 🐜
🌓 Bringing pjreddie's DarkNet out of the shadows #yolo
This repository provides you with an easy-to-use labeling tool for State-of-the-art Deep Learning training purposes. It supports Auto-Labeling.
Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.
A LSTM model using Risk Estimation loss function for stock trades in market
Implementing Multiple Layer Neural Network from Scratch
A simple deep neural network implemented in C++，based with OpenCV Mat matrix class
Autonomous RC car using Raspberry Pi and ANN
This is a repository for an object detection inference API using the Tensorflow framework.
A Hearthstone AI based on Monte Carlo tree search and neural nets written in modern C++.
🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models
HE —— “螺旋熵减机”
FC-DenseNet in PyTorch for Semantic Segmentation
Light version of convolutional neural network Yolo v3 & v2 for objects detection with a minimum of dependencies (INT8-inference, BIT1-XNOR-inference)
:microscope: Nano size Theano LSTM module
Sign Language to Text Conversion is a real-time system that uses a camera to capture hand gestures and translates them into text, words, and sentences...
Check out improved:
Tensor network based quantum software framework for the NISQ era
WaveNet-Vocoder implementation with pytorch.
HyMPS will be a platform-indipendent software suite for advanced audio/video contents production.
Library for automatic retraining and continual learning
OCR system for Arabic language that converts images of typed text to machine-encoded text.
ShuffleNet in PyTorch. Based on https://arxiv.org/abs/1707.01083
Pure Javascript manually written :ok_hand: implementation of BLAS, Many numerical software applications use BLAS computations, including Armadillo,...
A personal research and development (R&D) lab that facilitates the sharing of knowledge.
Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)
Keras implementation of Non-local Neural Networks
JDownload 2 Offline Captcha Solver
Official code release for ICCV 2021 paper SNARF: Differentiable Forward Skinning for Animating Non-rigid Neural Implicit Shapes.
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (...
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mniels...
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)
A batteries-included kit for knowledge graphs
ikan: many kan variants for every body
Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman
Machine learning games. Use combination of genetic algorithms and neural networks to control the behaviour of in-game objects.
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some go...
Simple machine learning library / 簡單易用的機器學習套件
Menoh: fast DNN inference library with multiple programming language support
CNN image style transfer 🎨.
Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.
👽 Out-of-Distribution Detection with PyTorch
This is a repository for an nocode object detection inference API using the Yolov3 and Yolov4 Darknet framework.
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera
A fast, high-quality neural vocoder.
ECG classification programs based on ML/DL methods