6218 Open source projects that are alternatives of or similar to Tacotron_pytorch

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Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

Surrogate Modeling Toolbox

We are building an open database of COVID-19 cases with chest X-ray or CT images.

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Code to synthesise textures using convolutional neural networks as described in Gatys et al. 2015 (http://arxiv.org/abs/1505.07376)

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

for code created as part of http://studywolf.wordpress.com

Code and Examples for Relevant Search

Real-time GCC-NMF Blind Speech Separation and Enhancement

Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!

[DEPRECATED] An IPython notebook-compatible Javascript/HTML viewer for matplotlib animations

A collection of resources for pandas (Python) and related subjects.

MAttNet: Modular Attention Network for Referring Expression Comprehension

Tutorial for using Kitti dataset easily

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

Easy to use Python camera interface for NVIDIA Jetson

Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman

Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar

This something about deep learning on Coursera by Andrew Ng

Approximating Wasserstein distances with PyTorch

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

朱小五写文章涉及到的数据分析，爬虫，源数据

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)

个人的技能树仓库，主要包含个人机器学习以及深度学习的笔记

Simple Encoder, Generator and Face Modificator with StyleGAN2

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

A collection of all my datasets

Code To Accompany YouTube Series Imaginary Numbers Are Real

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

Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program

Crawl & visualize ICLR papers and reviews.

Client side rendering of Jupyter notebooks

Documenting my python implementation of Andrew Ng's Machine Learning course

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

An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf

Explains nlp building blocks in a simple manner.

Code for our paper "Hamiltonian Neural Networks"

AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.

Reinforcement learning with A* and a deep heuristic

STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)

Github repo to upload demo files of youtube videos and linkedin

Structured Inference Networks for Nonlinear State Space Models

Python version of Quantiacs toolbox and sample trading strategies

PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss

Interactive JavaScript and TypeScript programming with Jupyter

Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası

Kaggle airbus ship detection challenge 21st solution

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

Beaker Extensions for Jupyter Notebook

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

A (very incomplete) project that combines machine learning with music.

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

Code and examples for JHU Computational Genomics class

An IDA Pro Plugin for embedding an IPython Kernel

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