267 Open source projects that are alternatives of or similar to classifying-cancer

CNN histopathologic tumor identifier.

Fast and accurate gene fusion detection from RNA-Seq data

Gene fusion detection and visualization

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

Self driving car in GTAV with Deep Learning

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

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

Sequence Segmentation using Joint RNN and Structured Prediction Models (ICASSP 2017)

An Algorithm to Quantify Robustness of Recurrent Neural Networks

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

Using LSTM network for time series forecasting

MAGERI - Assemble, align and call variants for targeted genome re-sequencing with unique molecular identifiers

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).

TCGA data acquisition and processing for Project Cognoma

NeuroAI-UW seminar, a regular weekly seminar for the UW community, organized by NeuroAI Shlizerman Lab.

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

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

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).

Entirety.ai Intuition to Implementation Meetup Content.

A Slicer extension to provide a GUI around pyradiomics

a deep recurrent model for exchangeable data

Community-maintained list of resources that the CI4CC organization and the larger cancer informatics community have found useful or are developing.

Classifying the Blur and Clear Images

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

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

Code for Reservoir computing (Echo state network)

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

List of IARC bioinformatics nextflow pipelines

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

NMA deep learning course

Ordered Neurons LSTM

A basic framework for pulmonary nodule detection and characterization in CT

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

A simple open domain generative based chatbot based on Recurrent Neural Networks

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

Cancer Predisposition Sequencing Reporter (CPSR)

Sequence Labeling in Tensorflow

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

Backend Server for CIViC Project

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

Adam, NAdam and AAdam optimizers

Deep Learning using Rectified Linear Units (ReLU)

Official code for UnICORNN (ICML 2021)

Gathers Tensorflow deep learning models.

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

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

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).

RNN benchmarks of pytorch, tensorflow and theano

💬 Recurrent neural network -- generates messages in your style of speech! Trained on imessage data. Sqlite3, TensorFlow, Flask, Twilio SMS, AWS.

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!

bitcoin prediction algorithms

Chainer implementation of Deepmind's Visual Attention Model paper

Tensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.

finance

Cancer-dedicated gene set interpretation

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

Implement Differentiable Architecture Search (DARTS) for RNN with fastai

Code and Data to accompany "Dilated Convolutions for Modeling Long-Distance Genomic Dependencies", presented at the ICML 2017 Workshop on Computational Biology

Trying to understand neural nets by building a simple one from scratch