6368 Open source projects that are alternatives of or similar to Wavegrad

Movie plots by genre tutorial at PyData Berlin 2016

scikit-learn wrappers for Python fastText.

A Keras CTC implementation of Baidu's DeepSpeech for model experimentation

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Oriented Response Networks, in CVPR 2017

Python solutions to solve practical business problems.

Kaggle airbus ship detection challenge 21st solution

An easy to use VR toolkit for Oculus Quest development using the Godot game engine

This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube

Python技术 公众号文章代码实例

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

🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.

Food detection and recommendation with deep learning

Some practices about deep learning

Deep Learning to Improve Breast Cancer Detection on Screening Mammography

Repositório para armazenamento de código e notebooks de postagens do blog e cursos.

Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops

Traffic Graph Convolutional Recurrent Neural Network

Write-ups for hackergame 2018

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Jupyter notebooks associated with the Algorithms for Optimization textbook

WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"

Ray tutorials from Anyscale

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

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

Exercises for the Analysis of Knowledge Graphs

Segment-CNN: A Framework for Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs

CNN image style transfer 🎨.

Bayesian neural network using Pyro and PyTorch on MNIST dataset

exercise for nndl

[tutorial]A functional, Data Science focused introduction to Python

从零基础开始机器学习之旅

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

Use the Mask RCNN for the human pose estimation

Quantitative finance research tools in Python

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

Python Bootcamp docs and lectures (UC Berkeley)

18.335 - Introduction to Numerical Methods course

Deep learning system course

Machine Learning in Finance: From Theory to Practice Book

Visual Search using Apache MXNet and gluon

👩🏻‍⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)

Graph Convolution Network for NLP

Open Content for self-directed learning in data science

Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

A library for debugging/inspecting machine learning classifiers and explaining their predictions

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

Using Project Jupyter for data science.

Tutorial on normalizing flows.

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

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

Decaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computation, full train/test scripts, native C++, and an active community!

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

General Assembly's Data Science course in Washington, DC

The accompanying files for the book 'Dataviz with Python and JavaScript'