Masanari KIMURA

awesome-mlss. 🤖 Machine Learning Summer School Guide

overleaf. A web-based collaborative LaTeX editor

awesome-information-geometry. About A collection of AWESOME things about information geometry Topics

nngeometry. {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch

pytorch-lightning-gans. Collection of PyTorch Lightning implementations of Generative Adversarial Network varieties presented in research papers.

DATASOURCE.

zozo-shift15m. SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts

awesome-contrastive-self-supervised-learning. A comprehensive list of awesome contrastive self-supervised learning papers.

geodesical_skew_divergence. PyTorch implementation of α-geodesical skew divergence

torchsort. Fast, differentiable sorting and ranking in PyTorch

ADVENT. Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

align_uniform. Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere" ICML 2020

MathOptInterface.jl. A data structure for mathematical optimization problems

Ranger-Deep-Learning-Optimizer. Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase

higher. higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

tnt. A lightweight library for PyTorch training tools and utilities

KernelAbstractions.jl. Heterogeneous programming in Julia

survey-model-compression. Survey for Model Compression

geotorch. Constrained optimization toolkit for PyTorch

cpython. The Python programming language

pyvista. 3D visualization and mesh analysis for science and engineering

geoopt. Riemannian Adaptive Optimization Methods with pytorch optim

survey-stochastic-optimization. Survey for Stochastic Optimization

PRTS. Unofficial Python implementation of "Precision and Recall for Time Series".

born_again_neuralnet. Unofficial pytorch implementation of Born-Again Neural Networks.

manim. Animation engine for explanatory math videos

coding-interview-university. A complete computer science study plan to become a software engineer.

Auto-PyTorch. Automatic architecture search and hyperparameter optimization for PyTorch

arrayfire-rust. Rust wrapper for ArrayFire

density_fixing. Implementation of the density-fixing training method

mnist_challenge. A challenge to explore adversarial robustness of neural networks on MNIST.

covid19. 東京都 新型コロナウイルス感染症対策サイト / Tokyo COVID-19 Task Force website

MonteCarloMeasurements.jl. Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.

SumOfSquares.jl. Sum of Squares Programming for Julia

ReverseDiff.jl. Reverse Mode Automatic Differentiation for Julia

solvespace. Parametric 2d/3d CAD

LinearMaps.jl. A Julia package for defining and working with linear maps, also known as linear transformations or linear operators acting on vectors. The only requirement for a LinearMap is that it can act on a vector (by multiplication) efficiently.

coco-annotator. :pencil2: Web-based image segmentation tool for object detection, localization, and keypoints

jupyter-book. Create beautiful, publication-quality books and documents from computational content.

GPUArrays.jl. Reusable array functionality for Julia's various GPU backends.

cluster-smi. nvidia-smi but for an entire GPU cluster

StaticArrays.jl. Statically sized arrays for Julia

Sourcetrail. Sourcetrail - free and open-source interactive source explorer

swig. SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages.

edex-ui. A cross-platform, customizable science fiction terminal emulator with advanced monitoring & touchscreen support.

FiniteDiff.jl. Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support

sympy. A computer algebra system written in pure Python

mfem. Lightweight, general, scalable C++ library for finite element methods

black. The uncompromising Python code formatter

manylinux. Python wheels that work on any linux (almost)

MCMCChains.jl. Types and utility functions for summarizing Markov chain Monte Carlo simulations

skflow. Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning

Hecke.jl. Computational algebraic number theory

tensorflow-large-model-support. Large Model Support in Tensorflow

ForwardDiff.jl. Forward Mode Automatic Differentiation for Julia

AxisArrays.jl. Performant arrays where each dimension can have a named axis with values

robustness. Corruption and Perturbation Robustness (ICLR 2019)

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

gluon-nlp. NLP made easy

VisionLearningGroup.github.io. CSS

pyclustering. pyclustering is a Python, C++ data mining library.

JigenDG. Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"

DAL. Domain agnostic learning with disentangled representations

self-ensemble-visual-domain-adapt. Code repository for the small image experiments our paper 'Self-ensembling for Domain Adaptation'

realistic-ssl-evaluation. Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

cifar10_challenge. A challenge to explore adversarial robustness of neural networks on CIFAR10.

tutorials. PyTorch tutorials.

images_annotation_programme. Online web tool for image annotation (Pascal VOC format used in Image Recognition)

deeplabel. A cross-platform desktop image annotation tool for machine learning

CADA-VAE-PyTorch. Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

Detectron. FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

ClassyVision. An end-to-end PyTorch framework for image and video classification

ImageNet-Adversarial-Training. ImageNet classifier with state-of-the-art adversarial robustness

continual_learning_papers. Relevant papers in Continual Learning

edgetpu. Coral issue tracker (and legacy Edge TPU API source)

one-pixel-attack-keras. Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

numerical_analysis.jl. 数値計算100本ノック

masf. Domain Generalization via Model-Agnostic Learning of Semantic Features

pytorch-adversarial-training. PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.

cityscapesScripts. README and scripts for the Cityscapes Dataset

TensorRT. NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

course-v3. The 3rd edition of course.fast.ai

orakl. Active Learning for TensorFlow

dl-with-bayes. Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"

CrypTen. A framework for Privacy Preserving Machine Learning

pytorch-lightning. Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

captum. Model interpretability and understanding for PyTorch

detectron2. Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

fairseq. Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

robustness. A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

PRML. PRML algorithms implemented in Python

nnabla. Neural Network Libraries

nnabla-examples. Neural Network Libraries https://github.com/sony/nnabla - Examples

tensorrt-laboratory. Explore the Capabilities of the TensorRT Platform

convex_adversarial. A method for training neural networks that are provably robust to adversarial attacks.

streamlit. Streamlit — A faster way to build and share data apps.

NumCpp. C++ implementation of the Python Numpy library

edgetpu-platforms. EdgeTPU support for other platforms, specifically Raspberry Pi Zero

interpret. Fit interpretable models. Explain blackbox machine learning.

AdvBox. Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

fastai. The fastai deep learning library

pyrobot. PyRobot: An Open Source Robotics Research Platform

FBGEMM. FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/

Awesome-pytorch-list. A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

advertorch. A Toolbox for Adversarial Robustness Research

foolbox. A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

vision. Datasets, Transforms and Models specific to Computer Vision

ConvKB. A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (Pytorch and Tensorflow)

mlflow. The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

dgl. Python package built to ease deep learning on graph, on top of existing DL frameworks.

openvslam. OpenVSLAM: A Versatile Visual SLAM Framework

oni. Oni: Modern Modal Editing - powered by Neovim

imagedegrade. Image degradation library for python

pytorch_geometric. Graph Neural Network Library for PyTorch

slimmable_networks. Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019

ignite. High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

blueoil. Bring Deep Learning to small devices

torchdiffeq. Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

OneShotTranslation. Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018

create_robot. ROS driver for iRobot Create 1 and 2.

installROSTX2. Install Robot Operating System (ROS) on NVIDIA Jetson TX2

graph_nets. Build Graph Nets in Tensorflow

pytorch-ssim. pytorch structural similarity (SSIM) loss

active-learning. Python

graph2gauss. Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".

MNE. Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"

fudan_mtl_reviews. TensorFlow implementation of the paper `Adversarial Multi-task Learning for Text Classification`

arduino-library-braccio. Arduino Braccio Library

smore. SMORe: Modularize Graph Embedding for Recommendation

hyperopt. Distributed Asynchronous Hyperparameter Optimization in Python

Tensorflow-Project-Template. A best practice for tensorflow project template architecture.

EffectiveTensorflow. TensorFlow tutorials and best practices.

Switchable-Normalization. Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

dll. Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)

TransNet. Source code and datasets of IJCAI2017 paper "TransNet: Translation-Based Network Representation Learning for Social Relation Extraction".

label_propagation. Implementations of label propagation like algorithms

GraRep. Source Code of GraRep

pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration

thrust. [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl

awesome-public-datasets. A topic-centric list of HQ open datasets.

dmd. dmd D Programming Language compiler

cling. The cling C++ interpreter

OpenNE. An Open-Source Package for Network Embedding (NE)

xeus-cling. Jupyter kernel for the C++ programming language

NRLPapers. Must-read papers on network representation learning (NRL) / network embedding (NE)

cosmos. World's largest Contributor driven code dataset | Used in Quark Search Engine, @OpenGenus IQ, OpenGenus Visual Project

the-incredible-pytorch. The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

julia-100-exercises. julia version of 100 numpy exercises

IJulia.jl. Julia kernel for Jupyter

ScikitLearn.jl. Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/

MXNet.jl. MXNet Julia Package - flexible and efficient deep learning in Julia

chainermn. ChainerMN: Scalable distributed deep learning with Chainer

cxxnet. move forward to https://github.com/dmlc/mxnet

dynet. DyNet: The Dynamic Neural Network Toolkit

leaf. Open Machine Intelligence Framework for Hackers. (GPU/CPU)

awesome-semantic-segmentation. :metal: awesome-semantic-segmentation

AdversarialNetsPapers. Awesome paper list with code about generative adversarial nets

ganhacks. starter from "How to Train a GAN?" at NIPS2016

kerasify. Small library for running Keras models from a C++ application

gephi. Gephi - The Open Graph Viz Platform

snap. Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

ELL. Embedded Learning Library

awesome-algorithms. A curated list of awesome places to learn and/or practice algorithms.

vnote. A pleasant note-taking platform in native C++.

awesome-network-embedding. A curated list of network embedding techniques.

LightGBM. A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

bazel. a fast, scalable, multi-language and extensible build system

fastText. Library for fast text representation and classification.

SNNs. Tutorials and implementations for "Self-normalizing networks"

cheatsheets-ai. Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

gonvim. Go

InjectProc. InjectProc - Process Injection Techniques [This project is not maintained anymore]

aria2. aria2 is a lightweight multi-protocol & multi-source, cross platform download utility operated in command-line. It supports HTTP/HTTPS, FTP, SFTP, BitTorrent and Metalink.

rocksdb. A library that provides an embeddable, persistent key-value store for fast storage.

frozen. a header-only, constexpr alternative to gperf for C++14 users

awesome-modern-cpp. A collection of resources on modern C++

keras-adversarial. Keras Generative Adversarial Networks

cassandra-cpp-driver. C/C++ Driver for Apache Cassandra®

cling. The interactive C++ interpreter Cling

v8. The official mirror of the V8 Git repository

Programming-Challenges. Lecture Notes for the "Programming Challenges" class in Tsukuba

clingkernel. Now part of Cling, no longer maintained here

Streams. Lazy evaluation in C++ - http://jscheiny.github.io/Streams/

ipex-llm. Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.

gremlins.js. Monkey testing library for web apps and Node.js

c3. :bar_chart: A D3-based reusable chart library

web-push. Web Push library for Node.js

webpush-java. Web Push library for Java

google-rules-of-machine-learning. Github mirror of M. Zinkevich's "Rules of Machine Learning" style guide, with extra goodness.

xorm. Simple and Powerful ORM for Go, support mysql,postgres,tidb,sqlite3,mssql,oracle, Moved to https://gitea.com/xorm/xorm

streama. Self hosted streaming media server. https://docs.streama-project.com/

concourse. Concourse is a container-based automation system written in Go. It's mostly used for CI/CD.

dart-vim-plugin. Syntax highlighting for Dart in Vim

Criterion. A cross-platform C and C++ unit testing framework for the 21st century

tiny-dnn. header only, dependency-free deep learning framework in C++14

rusty-machine. Machine Learning library for Rust

torch7. http://torch.ch

trackyou. Python

node. Node.js JavaScript runtime ✨🐢🚀✨

redox. Mirror of https://gitlab.redox-os.org/redox-os/redox