Optimization Deploy optimized transformer based models on Nvidia Triton server Deploy optimized transformer based models on Nvidia Triton server 22 November 2021
Optimization Racing line optimization algorithm in python that uses Particle Swarm Optimization Racing line optimization algorithm in python that uses Particle Swarm Optimization 21 November 2021
Optimization Optimal space decomposition based-product quantization for approximate nearest neighbor search Optimal space decomposition based-product quantization for approximate nearest neighbor search 17 November 2021
PyTorch PyTorch implementation of Federated Learning with Non-IID Data PyTorch implementation of Federated Learning with Non-IID Data 16 November 2021
Optimization NLOS-OT: Passive Non-Line-of-Sight Imaging Using Optimal Transport NLOS-OT: Passive Non-Line-of-Sight Imaging Using Optimal Transport 11 November 2021
Optimization Safe Policy Optimization with Local Features Safe Policy Optimization with Local Features 09 November 2021
Optimization Deploy optimized transformer based models on Nvidia Triton server Deploy optimized transformer based models on Nvidia Triton server 06 November 2021
Optimization A faster and highly-compatible implementation of the Python programming language A faster and highly-compatible implementation of the Python programming language 06 November 2021
Optimization Optimization and the Knapsack Problem, Decision Trees and Dynamic Programming, Graph Problems, Plotting, Stoc Optimization and the Knapsack Problem, Decision Trees and Dynamic Programming, Graph Problems, Plotting, Stoc 05 November 2021
Machine Learning reluMIP: Embed ReLU neural networks into mixed-integer programs reluMIP: Embed ReLU neural networks into mixed-integer programs 30 October 2021
Optimization A Lightweight Hyperparameter Optimization Tool A Lightweight Hyperparameter Optimization Tool 29 October 2021
Robust RoMA: Robust Model Adaptation for Offline Model-based Optimization RoMA: Robust Model Adaptation for Offline Model-based Optimization 27 October 2021
Optimization KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction 22 October 2021
Optimization When to trust your model: Model-based policy optimization in offline RL settings When to trust your model: Model-based policy optimization in offline RL settings 21 October 2021
Optimization A synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase A synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase 21 October 2021
Optimization Gradient-free global optimization algorithm for multidimensional functions based on the low rank tensor train format Gradient-free global optimization algorithm for multidimensional functions based on the low rank tensor train format 20 October 2021
Optimization FedMM: Saddle Point Optimization for Federated Adversarial Domain Adaptation FedMM: Saddle Point Optimization for Federated Adversarial Domain Adaptation 20 October 2021
PyTorch PyTorch implementation of Constrained Policy Optimization PyTorch implementation of Constrained Policy Optimization 20 October 2021
Optimization Hackable and optimized Transformers building blocks, supporting a composable construction Hackable and optimized Transformers building blocks, supporting a composable construction 20 October 2021
Optimization Bayesian optimization based on Gaussian processes Bayesian optimization based on Gaussian processes 18 October 2021
Research Repository for open research on optimizers Repository for open research on optimizers 18 October 2021
Bayesian Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations 16 October 2021
Numpy A numpy-based implementation of RANSAC for fundamental matrix and homography estimation A numpy-based implementation of RANSAC for fundamental matrix and homography estimation 16 October 2021
Optimization HyperaPy: An automatic hyperparameter optimization framework HyperaPy: An automatic hyperparameter optimization framework 13 October 2021
Optimization Train custom adaptive filter optimizers without hand tuning or extra labels Train custom adaptive filter optimizers without hand tuning or extra labels 11 October 2021
Machine Learning Implementations of Machine Learning models, Regularizers, Optimizers and different Cost functions Implementations of Machine Learning models, Regularizers, Optimizers and different Cost functions 10 October 2021
Optimization An on-demand and auto performance optimizer for Linux applications An on-demand and auto performance optimizer for Linux applications 09 October 2021
Optimization An AI constraint solver for Python to optimize planning and scheduling problems An AI constraint solver for Python to optimize planning and scheduling problems 09 October 2021
Optimization On-demand and auto performance optimizer for Linux applications On-demand and auto performance optimizer for Linux applications 09 October 2021
Deep Learning Deep Reinforcement Learning by using an on-policy adaptation of Maximum a Posteriori Policy Optimization (MPO) Deep Reinforcement Learning by using an on-policy adaptation of Maximum a Posteriori Policy Optimization (MPO) 06 October 2021
PyTorch A PyTorch implementation of Sharpness-Aware Minimization for Efficiently Improving Generalization A PyTorch implementation of Sharpness-Aware Minimization for Efficiently Improving Generalization 04 October 2021
Optimization Mnemosyne: efficient learning with powerful digital flash-cards Mnemosyne: efficient learning with powerful digital flash-cards 04 October 2021
Tensorflow Tensorflow implementation of optimizing a neural representation for a single scene and rendering new views Tensorflow implementation of optimizing a neural representation for a single scene and rendering new views 04 October 2021
Optimization A topology optimization framework written in Taichi programming language, which is embedded in Python A topology optimization framework written in Taichi programming language, which is embedded in Python 01 October 2021
Optimization COsmic Noon Dynamics with Optmized Resolutions COsmic Noon Dynamics with Optmized Resolutions 01 October 2021
Docker Simple Docker image will generate an M3U playlist optimized for use in Channels and expose them over HTTP simple Docker image will generate an M3U playlist optimized for use in Channels and expose them over HTTP 29 September 2021
Optimization Tutel MoE: An Optimized Mixture-of-Experts Implementation Tutel MoE: An Optimized Mixture-of-Experts Implementation 29 September 2021
Optimization Optimization for Oriented Object Detection via Representation Invariance Loss Optimization for Oriented Object Detection via Representation Invariance Loss 28 September 2021
PyTorch Faster, Leaner GPU Sklearn, Statsmodels written in PyTorch Faster, Leaner GPU Sklearn, Statsmodels written in PyTorch 28 September 2021
Optimization Module for statistical learning, with a particular emphasis on time-dependent modelling Module for statistical learning, with a particular emphasis on time-dependent modelling 28 September 2021
Optimization A Python Package for Portfolio Optimization using the Critical Line Algorithm A Python Package for Portfolio Optimization using the Critical Line Algorithm 26 September 2021
Optimization A Python package for solving the inverse problems that arise in scientific imaging applications SCICO is a Python package for solving the inverse problems that arise in scientific imaging applications 26 September 2021
Neural Network OptNet: Differentiable Optimization as a Layer in Neural Networks OptNet: Differentiable Optimization as a Layer in Neural Networks 26 September 2021
PyTorch Riemannian Adaptive Optimization Methods with pytorch optim Riemannian Adaptive Optimization Methods with pytorch optim 26 September 2021
Optimization Lookahead Optimizer: k steps forward, 1 step back for pytorch Lookahead Optimizer: k steps forward, 1 step back for pytorch 26 September 2021
Optimization Bunch of optimizer implementations in PyTorch Bunch of optimizer implementations in PyTorch 24 September 2021
PyTorch Pytorch implementation of Distributed Proximal Policy Optimization Pytorch implementation of Distributed Proximal Policy Optimization 23 September 2021
Optimization A simple yet super powerful optuna-based Hyperparameters Optimization Framework that requires no coding easyopt is a super simple yet super powerful optuna-based Hyperparameters Optimization Framework that requires no coding 23 September 2021
Neural Network OptNet: Differentiable Optimization as a Layer in Neural Networks OptNet: Differentiable Optimization as a Layer in Neural Networks 22 September 2021