1845 Open source projects that are alternatives of or similar to Deep Spying

A curated list of awesome Distributed Deep Learning resources.

Support content for my blog

Python library to easily log experiments and parallelize hyperparameter search for neural networks

One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow

Concise deep learning for JAX

🥕 Evolutionary Neural Networks in JavaScript

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

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

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

Koç University deep learning framework.

RadIO is a library for data science research of computed tomography imaging

An easy-to-use interface for measuring uncertainty and robustness.

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Deep Learning for humans

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

Deep Learning Computer Vision Algorithms for Real-World Use

How to use TensorLayer

VIP cheatsheets for Stanford's CS 230 Deep Learning

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction 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.

A Python package for gender classification.

Keras community contributions

Learn to Build a Machine Learning Application from Top Articles

A cleaner way to build neural networks for PyTorch.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

Applying Data Science and Machine Learning to Solve Real World Business Problems

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.

All the slides, accompanying code and exercises all stored in this repo. 🎈

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

Relax! Flux is the ML library that doesn't make you tensor

Deep learning codes and projects using Python

Probabilistic reasoning and statistical analysis in TensorFlow

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

A simple probabilistic programming language.

High-quality implementations of standard and SOTA methods on a variety of tasks.

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

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 …

Code and other material for the book "Deep Learning and the Game of Go"

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

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.

Official PyTorch implementation of paper "A Hybrid Compact Neural Architecture for Visual Place Recognition" by M. Chancán (RA-L & ICRA 2020) https://doi.org/10.1109/LRA.2020.2967324

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

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

Deep Learning Toolkit for Medical Image Analysis

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

📝 Подборка ресурсов по машинному обучению

pyclustring is a Python, C++ data mining library.

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Datasets, tools, and benchmarks for representation learning of code.

Collaborate on privacy-preserving policy for data science projects in Pandas and Apache Spark

An Echo State Network module for PyTorch.

Anomaly detection for temporal data using LSTMs

TensorFlow and Deep Learning Tutorials

🏖TagEditor - Annotation tool for spaCy

Julia port of the Python autograd package.

An automatic ML model optimization tool.

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