5921 Open source projects that are alternatives of or similar to Toonify

This something about deep learning on Coursera by Andrew Ng

Guided Evolutionary Strategies

Client side rendering of Jupyter notebooks

Streaming over lightweight data transformations

Reinforcement learning with A* and a deep heuristic

PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"

Statistics and Accepted paper list with arXiv link of EMNLP-IJCNLP 2019

Artificial Intelligence projects, documentation and code.

Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）

Presentation Materials for my "Sound Analysis with the Fourier Transform and Python" OSCON Talk.

Examples of using deep learning in Bioinformatics

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

A knowledge graph and a set of tools for drug repurposing

🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on

pyschedule - resource scheduling in python

ULMFiT for Genomic Sequence Data

Code repository for Learning PySpark by Packt

机器学习技术研究室——by阿布量化小组

python automatic data quality check toolkit

Implementation of Google Brain's WaveGrad high-fidelity vocoder (paper: https://arxiv.org/pdf/2009.00713.pdf). First implementation on GitHub.

Python 入门爬虫和数据分析实战

Write-ups for hackergame 2018

Convert existing soccer event stream data to SPADL and value player actions

台大机器学习课程作业详解

List of tech resources future me and other Javascript/Ruby/Python/Elixir/Elm developers might find useful

This is the PyTorch implementation of VGG network trained on CIFAR10 dataset

Beautiful charting of pandas.DataFrame with Highcharts

Tutorials for deep learning

source{d} datasets ("big code") for source code analysis and machine learning on source code

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

TensorFlow Tutorials

a framework for training sequence-level deep learning networks

Code and Examples for Relevant Search

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

MAttNet: Modular Attention Network for Referring Expression Comprehension

Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow

add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot

a generalist algorithm for cellular segmentation

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

A PyTorch implementation of PointRend: Image Segmentation as Rendering

Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant white space. (This repository contains Python 3 Code)

An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.

Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).

Gradient based receptive field estimation for Convolutional Neural Networks

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

Repository for PyCon 2016 workshop Natural Language Processing in 10 Lines of Code

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

This course covers how you can use NLP to do stuff.

Code for our paper "Hamiltonian Neural Networks"

PyTorch implementation of Tacotron speech synthesis model.

PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss

Udacity's Machine Learning Nanodegree project files and notes.

Code for Document Similarity on Reuters dataset using Encode, Embed, Attend, Predict recipe

Shared Blogs and Notebooks

Repeatable analysis plugin for Jupyter notebook

A series of notebooks describing how to use YOLO (darkflow) in python