7173 Open source projects that are alternatives of or similar to Gcp For Bioinformatics

Python codes for low-rank tensor factorization, tensor completion, and tensor regression techniques.

Deep Variational Reinforcement Learning

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

COVID-19 workflows and datasets.

Implementations of "LSTM: A Search Space Odyssey" variants and their training results on the PTB dataset.

适合初级到中级晋升者，有了体系之后就看熟练度了。

UC Berkeley, W205 Data Engineering, 2018 Spring, Kevin Crook's supplement

Fog for Google Cloud Platform

Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"

CNN for intent classification task in a Chatbot

Compressed Sensing MRI based on Deep Generative Adversarial Network

Inference case studies in jupyter

Pytorch implementation of the DeepDream computer vision algorithm

Software for the visualization of sequence-function relationships

Материалы мини-курса на Stepik "Нейронные сети и обработка текста"

It is the DKT+ model implemented in python3 and tensorflow1.2

Deep learning tool to find brand logos in everyday pictures

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

neon tutorials

TabNet for fastai

Conda recipes for the bioconda channel.

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

生命情報の機械学習入門（新学術領域「先進ゲノム支援」中級講習会資料）

Jupyter NoteBooks to get you boosted with the basics of python with hands-on-practice.

Machine learning portfolio

Python Cellular Sheaf Library

Colorise Anime/Manga Sketches with DeOldify

Putting machine learning in the hands of cancer biologists

Solution of RecSys Challenge 2015

Modular multitask reinforcement learning with policy sketches

brief introduction to Python for neural networks

Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.

[repo not maintained] Check out https://diffgram.com if you want to build a visual intelligence

A Notebook where I implement differents anomaly detection algorithms on a simple exemple. The goal was just to understand how the different algorithms works and their differents caracteristics.

《集体智慧编程》Python代码（基于Python3.6）和数据集

Keras implementation of NASNet-A

Implementation of the paper "Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching"

nbconflux converts Jupyter Notebooks to Atlassian Confluence pages

This is a repository for submitted contents of Qiita.

Implementing YOLO using ResNet as the feature extraction network

Stanford cs231n'18 assignment

introduction to text analytics in python training for odsc west 2018

A Handful of D(u)S(t)

Detecting emotions using MFCC features of human speech using Deep Learning

Sample code for running deterministic variational inference to train Bayesian neural networks

Voice Conversion using Cycle GAN's For Non-Parallel Data

Basics of programming: algorithms, data structures, object oriented programming

Malware Data Science Reading Diary / Notes

This repository includes the code used in my corresponding Medium post.

An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options

Privacy-preserving generative deep neural networks support clinical data sharing

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Jupyter notebooks for h3-py, a hierarchical hexagonal geospatial indexing system