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

Building Machine Learning Projects with TensorFlow by Packt

A minimal Jupyter Notebook theme

An implementation of "mixup: Beyond Empirical Risk Minimization"

faiss wiki in chinese.

[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集，构建以FM和LR为核心的电影推荐系统).

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

How to use ELMo embeddings in Keras with Tensorflow Hub

主要存储Datawhale组队学习中“编程、数据结构与算法”方向的资料。

This repository contains all the material for the MLTrain NIPS workshop

code and model of Pyramid Feature Selective Network for Saliency detection

Epipolar Transformers (CVPR 2020)

Train a Word2Vec model or LSA model, and Implement Conceptual Search\Semantic Search in Solr\Lucene - Simon Hughes Dice.com, Dice Tech Jobs

Practical Exercise Codes for PyTorch

Pysolar is a collection of Python libraries for simulating the irradiation of any point on earth by the sun. It includes code for extremely precise ephemeris calculations.

ML Online Course Repository. Course videos on online.codingblocks.com

Python code for bayesian optimization using Gaussian processes

Estimates the size of a PyTorch model in memory

Code for YouTube series: Deep Learning for Audio Classification

Create delightful python projects using Jupyter Notebooks

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

Streaming over lightweight data transformations

An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.

Artificial Intelligence projects, documentation and code.

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

ULMFiT for Genomic Sequence Data

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

台大机器学习课程作业详解

Tutorials for deep learning

a framework for training sequence-level deep learning networks

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

A PyTorch implementation of PointRend: Image Segmentation as Rendering

Gradient based receptive field estimation for Convolutional Neural Networks

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

summer school coursework

Machine Learning in Finance: From Theory to Practice Book

Code repository for DenseReg.

Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.

Automatic Music Transcription with Deep Neural Networks

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller

Stock for Deep Learning and Machine Learning

Source code accompanying: BigQuery: The Definitive Guide by Lakshmanan & Tigani to be published by O'Reilly Media

Global shoreline mapping tool from satellite imagery

Fast, flexible and easy to use probabilistic modelling in Python.

Website with learning materials / Stránka s učebními materiály

Using Project Jupyter for data science.

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

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