RiddleRace and ethnicity Imputation from Disease history with Deep LEarning
EnnuiAn Elegant Neural Network User Interface to build drag-and-drop neural networks, train in the browser, visualize during training, and export to Python.
Pytorch Openai Transformer Lm🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI
Knet.jlKoç University deep learning framework.
Pumas.jlPharmaceutical Modeling and Simulation for Nonlinear Mixed Effects (NLME), Quantiative Systems Pharmacology (QsP), Physiologically-Based Pharmacokinetics (PBPK) models mixed with machine learning
Variational Capsule RoutingOfficial Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf
SonnetTensorFlow-based neural network library
DltkDeep Learning Toolkit for Medical Image Analysis
DeepsmilesDeepSMILES - A variant of SMILES for use in machine-learning
Wav2letterSpeech Recognition model based off of FAIR research paper built using Pytorch.
AbigsurveyA collection of 500+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)
DannDeep Neural Network Sandbox for JavaScript.
Mit Deep LearningTutorials, assignments, and competitions for MIT Deep Learning related courses.
MlalgorithmsMinimal and clean examples of machine learning algorithms implementations
Kaggle RsnaDeep Learning for Automatic Pneumonia Detection, RSNA challenge
Super SlowmoAn attempt at a PyTorch implimentation of "Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation"
EhcfThis is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)
BlinkdlA minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.
Ai Residency ListList of AI Residency & Research programs, Ph.D Fellowships, Research Internships
TorchganResearch Framework for easy and efficient training of GANs based on Pytorch
Graph 2d cnnCode and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')
Entity embeddings categoricalDiscover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
Deep ReviewA collaboratively written review paper on deep learning, genomics, and precision medicine
Fft Conv PytorchImplementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.
AorunDeep Learning over PyTorch
Ai PlatformAn open-source platform for automating tasks using machine learning models
GosomSelf-organizing maps in Go
Bidaf KerasBidirectional Attention Flow for Machine Comprehension implemented in Keras 2
Cyclegan QpOfficial PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"
Keras GanKeras implementations of Generative Adversarial Networks.
Deep Kernel GpDeep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood
GraspCode for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH
Applying eannsA 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.
Meme GeneratorMemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.
Genannsimple neural network library in ANSI C
MishOfficial Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
DpwaDistributed Learning by Pair-Wise Averaging
TensoranfisA Tensorflow implementation of the Adaptive Neuro-Based Fuzzy Inference System (ANFIS)