Continual Learning Benchmark

Evaluate three types of task shifting with popular continual learning algorithms.

Udemy derinogrenmeyegiris

Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası

Echotorch

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.

Aidl kb

A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)

Free Ai Resources

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Sparse Evolutionary Artificial Neural Networks

Always sparse. Never dense. But never say never. A 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).

Data Science Resources

👨🏽🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Cnn Svm

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

Perfect Tensorflow

TensorFlow C API Class Wrapper in Server Side Swift.

Java Deep Learning Cookbook

Code for Java Deep Learning Cookbook

Mariana

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

100daysofmlcode

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

Awesome Quantum Machine Learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

Brainforge

A Neural Networking library based on NumPy only

Lightnn

The light deep learning framework for study and for fun. Join us!

Neuroflow

Artificial Neural Networks for Scala

Top Deep Learning

Top 200 deep learning Github repositories sorted by the number of stars.

Brain Inspired Replay

A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).

Sigma

Rocket powered machine learning. Create, compare, adapt, improve - artificial intelligence at the speed of thought.

Neural Api

CAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.

Deep Learning Drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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HTMLpythondeep-learningmachine-learningcomputer-visionnatural-language-processingreinforcement-learningdeep-neural-networksoptimizationdeep-reinforcement-learningspeech-recognitionmedical-imagingmachine-translationartificial-neural-networksbayesian-statisticspattern-recognitionprobabilistic-graphical-modelsartificial-intelligence-algorithmsvisual-recognitiongraph-neural-networksMalware Classification

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Machine Learning Without Any Libraries

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

Gru Svm

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

Aialpha

Use unsupervised and supervised learning to predict stocks

Numbers

Handwritten digits, a bit like the MNIST dataset.

Applying eanns

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.

Genann

simple neural network library in ANSI C

Brihaspati

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

Trafficvision

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.

Yannl

Yet another neural network library

Quant Finance Resources

Courses, Articles and many more which can help beginners or professionals.

Online Relationship Learning

Unsupervised ML algorithm for predictive modeling and time-series analysis

The Deep Learning With Keras Workshop

An Interactive Approach to Understanding Deep Learning with Keras

Gaze Estimation

A deep learning based gaze estimation framework implemented with PyTorch

All Classifiers 2019

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Gpdotnetv4

C# implementation of the various algorithms based on Genetic Algorithm, Genetic Programming and Artificial Neural Networks.

Imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Neupy

NeuPy is a Tensorflow based python library for prototyping and building neural networks

Tensorslow

Re-implementation of TensorFlow in pure python, with an emphasis on code understandability

Deeplearning.ai

deeplearning.ai , By Andrew Ng, All video link

Dll

Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)

Continual Learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

Trending Deep Learning

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Hyperparameter Optimization Of Machine Learning Algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Cranium

🤖 A portable, header-only, artificial neural network library written in C99

Python Ml Course

Curso de Introducción a Machine Learning con Python

First Steps Towards Deep Learning

This is an open sourced book on deep learning.

Nimtorch

PyTorch - Python + Nim

Niutensor

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.

Ai Simplest Network

The simplest form of an artificial neural network explained and demonstrated.

Tensorflow Resources

Curated Tensorflow code resources to help you get started with Deep Learning.

Ecg Classification

Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

Awesome Ai Awesomeness

A curated list of awesome awesomeness about artificial intelligence

L2c

Learning to Cluster. A deep clustering strategy.

Machine Learning And Ai In Trading

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

Easypr

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

leabra

Go implementation of Leabra algorithm for biologically-based models of cognition, based on emergent framework (with Python interface)

PyAnomaly

Useful Toolbox for Anomaly Detection

EmbeddedML

EmbeddedML was created to be an alternative to the limited options available for Artificial Neural Networks in C. It is designed to be efficient without sacrificing ease of use. It is meant to support students as well as industry experts as it is built to be expandable and straightforward to manipulate.