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Tutorials, assignments, and competitions for MIT Deep Learning related courses.

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My personal notes, presentations, and notebooks on everything Deep Learning.

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🤖🎨🎸A curated list of awesome projects, works, people, articles, and resource for creating art (including music) with machine learning. It's machine learning art.

List of AI Residency & Research programs, Ph.D Fellowships, Research Internships

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Avalanche: a End-to-End Library for Continual Learning.

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Learning to Learn in TensorFlow

Deep learning driven jazz generation using Keras & Theano!

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

Deep Learning tools for brain medical images

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

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

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

TensorFlow-based neural network library

a delightful machine learning tool that allows you to train, test, and use models without writing code

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Grokking Deep Reinforcement Learning

SincNet is a neural architecture for efficiently processing raw audio samples.

Disclaimer: This is not an official Google product.

List of articles related to deep learning applied to music

Daily Dose of Neural Network that Everyone Needs

Lyrics-to-audio-alignement system. Based on Machine Learning Algorithms: Hidden Markov Models with Viterbi forced alignment. The alignment is explicitly aware of durations of musical notes. The phonetic model are classified with MLP Deep Neural Network.

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Build Graph Nets in Tensorflow

An open-source platform for automating tasks using machine learning models

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

Getting started with AllenNLP and PyTorch by training a tweet classifier

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A tool for automatic phoneme transcription

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

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Xaynet represents an agnostic Federated Machine Learning framework to build privacy-preserving AI applications.

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Autodifferentiation package in Rust.

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

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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.

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Support content for my blog

Deep learning codes and projects using Python

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

repo with challenge material for riceteacatpanda (2020)

Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference

Reinforcement Learning program that looks to be able to quickly learn to solve a Rubik's Cube

Using artificial intelligence and genetic algorithms to automatically write programs. Tutorial: http://www.primaryobjects.com/cms/article149

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Discover artists through an infinite node graph

🔮Deep Learning for text made easy with AllenNLP