774 Open source projects that are alternatives of or similar to Deep Review

Build conversation Seq2Seq models with TensorFlow

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

simple neural network library in ANSI C

Guided synteny alignment between duplicated genomes (within specified quota constraint)

Lyrics-to-audio-alignement system. Based on Machine Learning Algorithms: Hidden Markov Models with Viterbi forced alignment. The alignment is explicitly aware of durations of musical notes. The phonetic model are classified with MLP Deep Neural Network.

Augmenting word embeddings with their surrounding context using bidirectional RNN

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Denoising Autoencoders for Phenotype Stratification

Compressor for genomic files (FASTQ, SAM/BAM, VCF, FASTA, GVF, 23andMe...), up to 5x better than gzip and faster too

Crystal Graph Neural Networks

Finding the genre of a song with Deep Learning

Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH

Analysis pipelines for sequencing data

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

igv.js server and automatic configuration to view bam/cram/vcf/bed. "working in under 1 minute"

Adds a reviewable feature to your laravel app.

JAX-based neural network library

App Store/Google Play review watcher, deliver new reviews to slack channel

RADseq Data Exploration, Manipulation and Visualization using R

Distributed Learning by Pair-Wise Averaging

GPU accelerated Deep Belief Network

Keras implementations of Generative Adversarial Networks.

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Deep Learning tools for brain medical images

Distilled and Refined Annotation of Metabolism: A tool for the annotation and curation of function for microbial and viral genomes

🔮Deep Learning for text made easy with AllenNLP

Development repository for the Bioconductor package 'mixOmics '

TensorHub is a library built on top of TensorFlow 2.0 to provide simple, modular and repeatable abstractions to accelerate deep learning research.

Self-organizing maps in Go

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.

[Tensorflow.js] AdVis: Exploring real-time Adversarial Attacks in the browser with Fast Gradient Sign Method.

Visualisations for Convolutional Neural Networks in Pytorch

Chrome extension to filter files in GitHub code review using glob

Model and predict short DNA sequence features with neural networks

This toolbox is support material for the book on CNN (http://www.convolution.network).

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

Interactive Classification for Deep Learning Interpretation

Official code repository for GATK versions 4 and up

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

A list of web-based interactive biological data visualizations.

Self driving cars using NEAT

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

A Tensorflow implementation of the Adaptive Neuro-Based Fuzzy Inference System (ANFIS)

Official PyTorch implementation of paper "A Hybrid Compact Neural Architecture for Visual Place Recognition" by M. Chancán (RA-L & ICRA 2020) https://doi.org/10.1109/LRA.2020.2967324

Deep Learning over PyTorch

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Highway networks implemented in PyTorch.

Burrow-Wheeler Aligner for short-read alignment (see minimap2 for long-read alignment)

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

Framework for building fast genomics web tools with WebAssembly and WebWorkers

Machine learning and data science blog.

Research code need not be ugly.

An open-source platform for automating tasks using machine learning models

Algorithm / Book Reviews / Interview / ETC

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge