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ar_process

Autoregressive processes in Pytorch

batch_newton_method

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.

eigenpro-pytorch

EigenPro Iteration in PyTorch

emb2emb

Implementation of the paper 'Plug and Play Autoencoders for Conditional Text Generation'

fastbpe

Fast BPE

keops

KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows

kymatio

Wavelet scattering transforms in Python with GPU acceleration

laser

Language-Agnostic SEntence Representations

me-ada

"Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).

methodtools

Expand functools features(lru_cache) to class - methods, classmethods, staticmethods and even for (unofficial) hybrid methods.

ml-mat-vamp

Code for NeurIPS 2020 paper titled "Matrix Inference and Estimation in Multi-Layer Models"

modal

A modular active learning framework for Python

ntk_matrix_completion

opt-einsum-torch

Memory-efficient optimum einsum using opt_einsum planning and PyTorch kernels.

parthe

Config files for my GitHub profile.

pytictoc

MATLAB style tic and toc timing for Python

pytorch_mcmc

Lightweight MCMC sampling for PyTorch Models aka My Corona Project

randomly-pivoted-cholesky

Clone of RP-Cholesky to support pytorch and cuda

rtd-tutorial

testing ReadTheDocs

scikit-rmt

Random Matrix Theory library - package for Python3

scilab-signal-processing-toolbox-fossee-

A few functions have been written to add to the SCILAB signal processing toolbox. These are mostly functions related to linear prediction and levinson algorithm

semidefinite-programming-sdp-relaxations-for-independence-number

sigpy

Python package for signal processing, with emphasis on iterative methods

speaker-diarization-toolkit-matlab

An end-to-end MATLAB toolkit for completely unsupervised Speaker Diarization using state-of-the-art algorithms.

tcs

Book in preparation: introduction to theoretical computer science

text-autoencoders

torchkernels

Fast Pytorch implementations of standard kernels

torchntk

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.