Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

The Open Images dataset

POT : Python Optimal Transport

A curated list of community detection research papers with implementations.

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

Metric learning algorithms in Python

Nimfa: Nonnegative matrix factorization in Python

Official TP-GAN Tensorflow implementation for paper "Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis"

Clustering routines for the unit sphere

Generic implementation for clustering with deep learning : representation learning (DNN) + clustering

An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.

Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.

Improved speech enhancement with the Wave-U-Net, a deep convolutional neural network architecture for audio source separation, implemented for the task of speech enhancement in the time-domain.

A collection of state-of-the-art face super-resolution/hallucination methods

Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation

A Locality Sensitive Hashing (LSH) library with an emphasis on large, highly-dimensional datasets.

Implements "Clustering a Million Faces by Identity"

A repository of abbreviations for references, e.g., for conferences, journals, institutes, etc.

Code for the CVPR15 paper "Learning from Massive Noisy Labeled Data for Image Classification"

Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)

Label Embedding Network

An extended package for clustering similarity

[NeurIPS'18, Spotlight oral] "Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds", by Xiaohan Chen*, Jialin Liu*, Zhangyang Wang and Wotao Yin.

Automatic paper clustering and search tool by fastext from Facebook Research

Code for the paper "Let’s Make Block Coordinate Descent Go Fast"

The sample code to study non-negative matrix and tensor factorization.

A Python Library for Similarity-based Dimensionality Reduction

Convolutional Neural Networks (CNNs) are being widely used for various tasks in Computer Vision. We focus on the task of image classification particularly using CNNs with more focus on the relation…