267 Open source projects that are alternatives of or similar to regulatory-prediction

A curated list of awesome computational cryo-EM methods.

A Curated List of Computational Biology Datasets Suitable for Machine Learning

Towards fast and accurate SNP genotyping from whole genome sequencing data for bedside diagnostics.

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

Probabilistic Dialogue Act Classification for the Switchboard Corpus using an LSTM model

Code for Reservoir computing (Echo state network)

RNN benchmarks of pytorch, tensorflow and theano

A standalone program that reads files created with the graphical network editor Escher and converts them to files in community standard formats.

A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting

Contact map analysis for biomolecules; based on MDTraj

Sequence Labeling in Tensorflow

Thai Word Segmentation and Part-of-Speech Tagging with Deep Learning

finance

Official code for UnICORNN (ICML 2021)

Myokit: A simple interface to cardiac cellular electrophysiology

An Algorithm to Quantify Robustness of Recurrent Neural Networks

Using LSTM network for time series forecasting

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

screenlamp is a Python toolkit for hypothesis-driven virtual screening

Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results.

Clair3 - Symphonizing pileup and full-alignment for high-performance long-read variant calling

Codes and Templates from the SuperDataScience Course

An R Package for Geneset Enrichment Workflows

An integrated visual environment for metabolic modeling with common methods such as FBA, FVA and Elementary Flux Modes, and advanced features such as thermodynamic methods, extended Minimal Cut Sets, OptKnock, RobustKnock, OptCouple and more!

📖 Generation and Applications of Knowledge Graphs in Systems and Networks Biology

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

Sentiment Analysis LSTM recurrent neural network's.

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

The Biochemical Algorithms Library

CPM implementation in pure JavaScript

A COBRApy extension for genome-scale models of metabolism and expression (ME-models)

A robot learning from demonstration framework that trains a recurrent neural network for autonomous task execution

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

Spatial alignment of single cell transcriptomic data.

Bioinformatics workflows developed for and used on the St. Jude Cloud project.

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

Self driving car in GTAV with Deep Learning

Using a recurrent neural network in TensorFlow to predict national origin by last name.

This repository contains the code for a conference paper "Predicting the football match winner using LSTM model of Recurrent Neural Networks" that we wrote

Malicious URL detector using keras recurrent networks and scikit-learn classifiers

Collection of scripts for bacterial genomics

Source code for "Transferring the Style of Homophonic Music Using Recurrent Neural Networks and Autoregressive Model"

Chainer implementation of Deepmind's Visual Attention Model paper

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Ordered Neurons LSTM

A Neural Network based Chatbot

Gathers Tensorflow deep learning models.

Alternative approach for Adaptive Computation Time in TensorFlow

Advanced file format fuzzer based-on deep neural language models.

NLP tutorial

STAPLE (Shared Tools for Automatic Personalised Lower Extremity modelling) consists of a collection of methods for generating skeletal models from three-dimensional bone geometries, usually segmented from medical images. The methods are currently being expanded to create complete musculoskeletal models.

Ultrafast sequence typing and gene detection from NGS raw reads

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

Assignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke

a deep recurrent model for exchangeable data

bitcoin prediction algorithms

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks