There are 37 repositories under artificial-neural-networks topic.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Top 200 deep learning Github repositories sorted by the number of stars.
Use unsupervised and supervised learning to predict stocks
simple neural network library in ANSI C
A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).
NeuPy is a Tensorflow based python library for prototyping and building neural networks
Re-implementation of TensorFlow in pure python, with an emphasis on code understandability
Curso de Introducción a Machine Learning con Python
deeplearning.ai , By Andrew Ng, All video link
Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)
Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.
🤖 A portable, header-only, artificial neural network library written in C99
This is an open sourced book on deep learning.
Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database
Evaluate three types of task shifting with popular continual learning algorithms.
The simplest form of an artificial neural network explained and demonstrated.
PyTorch - Python + Nim
NiuTensor is an open-source toolkit developed by a joint team from NLP Lab. at Northeastern University and the NiuTrans Team. It provides tensor utilities to create and train neural networks.
A curated list of awesome awesomeness about artificial intelligence
Curated Tensorflow code resources to help you get started with Deep Learning.
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.
Learning to Cluster. A deep clustering strategy.
Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
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My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)
Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).
👨🏽🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋
Code for Java Deep Learning Cookbook