972 Open source projects that are alternatives of or similar to Learning To Learn

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

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

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

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 …

Deep learning codes and projects using Python

Disclaimer: This is not an official Google product.

Deep Learning tools for brain medical images

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.

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

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

A curated list of awesome awesomeness about artificial intelligence

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

Japanese Riichi Mahjong AI agent. (Feel free to extend this agent or develop your own agent)

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

Build Graph Nets in Tensorflow

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

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.

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!

repo with challenge material for riceteacatpanda (2020)

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

A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!

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

Autodifferentiation package in Rust.

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 PyTorch Library for Accelerating 3D Deep Learning Research

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

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.

💫 Industrial-strength Natural Language Processing (NLP) in Python

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

Support content for my blog

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

Finding the genre of a song with Deep Learning

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

TensorHub is a library built on top of TensorFlow 2.0 to provide simple, modular and repeatable abstractions to accelerate deep learning research.

Daily Dose of Neural Network that Everyone Needs

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

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

Getting started with AllenNLP and PyTorch by training a tweet classifier

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

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.

A tool for automatic phoneme transcription

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

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 library for prototyping realtime hand detection (bounding box), directly in the browser.

Grokking Deep Reinforcement Learning

Deep Learning Computer Vision Algorithms for Real-World Use

A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.

Lightweight library to build and train neural networks in Theano

Predictive AI layer for existing databases.

Keras tutorial for beginners (using TF backend)

Experimental keras implementation of novel neural network structures

🐦 Opytimizer is a Python library consisting of meta-heuristic optimization techniques.

The most important NLP highlights of 2018 (PDF Report)

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Repository which contains links and resources on different topics of Computer Science.