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

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.

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

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

deeplearning.ai , By Andrew Ng, All video link

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

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

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

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

This is an open sourced book on deep learning.

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.

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

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

PyTorch - Python + Nim

Curso de Introducción a Machine Learning con Python

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

Learning to Cluster. A deep clustering strategy.

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

A curated list of awesome awesomeness about artificial intelligence

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

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.

Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası

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

TensorFlow C API Class Wrapper in Server Side Swift.

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).