parshakova

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

bert

TensorFlow code and pre-trained models for BERT

sympy

A computer algebra system written in pure Python

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

marimo

A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

cutlass

CUDA Templates for Linear Algebra Subroutines

osmnx

OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

SentEval

A python tool for evaluating the quality of sentence embeddings.

cugraph

cuGraph - RAPIDS Graph Analytics Library

casadi

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

PyCall.jl

Package to call Python functions from the Julia language

obfuscated-gradients

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

POMDPs.jl

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

document-qa

InvariantRiskMinimization

PyTorch code to run synthetic experiments.

pytorch-hessian-eigenthings

Efficient PyTorch Hessian eigendecomposition tools!

notes

CME211 Notes | Outline ->

rdp

Python/Numpy implementation of the Ramer-Douglas-Peucker algorithm

HODLR

A fast, accurate direct solver and determinant computation for dense linear systems

Stanford-LaTeX-Poster-Template

Stanford LaTeX poster template

PyPardiso

Python interface to the Intel MKL Pardiso library to solve large sparse linear systems of equations

qcqp

A CVXPY extension for handling nonconvex QCQP via Suggest-and-Improve framework

2015-SIGGRAPH-convolutional-ot

J. Solomon, F. de Goes, G. Peyré, M. Cuturi, A. Butscher, A. Nguyen, T. Du, L. Guibas. Convolutional Wasserstein Distances: Efficient Optimal Transportation on Geometric Domains. ACM Transactions on Graphics (Proc. SIGGRAPH 2015), 34(4), pp. 66:1–66:11, 2015

Recurrent-Deep-Q-Learning

Solving POMDP using Recurrent networks

PEPit

PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.

HMatrices.jl

A Julia library for hierarchical matrices

HierarchicalMatrices.jl

Julia package for hierarchical matrices

H2Pack

H2 Matrix Package

BundleMethod.jl

Bundle Methods in Julia

ctpPOP

Exploiting constant trace property in large-scale polynomial optimization