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Search results for pytorch optimization
optimization
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pytorch
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118 search results found
Ray
⭐
29,596
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Serve
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3,844
Serve, optimize and scale PyTorch models in production
Learn2learn
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2,283
A PyTorch Library for Meta-learning Research
Ax
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2,217
Adaptive Experimentation Platform
Pennylane
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2,170
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
Auto Pytorch
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2,158
Automatic architecture search and hyperparameter optimization for PyTorch
Optimum
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1,908
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
Rl Baselines3 Zoo
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1,640
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Cvxpylayers
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1,511
Differentiable convex optimization layers
Hyperlearn
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1,387
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Ppo Pytorch
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1,270
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
Pypose
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1,103
A library for differentiable robotics.
Evotorch
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941
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
Geoopt
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797
Riemannian Adaptive Optimization Methods with pytorch optim
Deepdow
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790
Portfolio optimization with deep learning.
Autokernel
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724
AutoKernel 是一个简单易用,低门槛的自动算子优化工具,提高深度学习算法部署效率。
Test Tube
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719
Python library to easily log experiments and parallelize hyperparameter search for neural networks
Qpth
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604
A fast and differentiable QP solver for PyTorch.
Nextface
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599
A high-fidelity 3D face reconstruction library from monocular RGB image(s)
Neptune Client
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518
📘 The MLOps stack component for experiment tracking
Hyperactive
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475
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Torchopt
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460
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
Optnet
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321
OptNet: Differentiable Optimization as a Layer in Neural Networks
Pytorch Memonger
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318
Sublinear memory optimization for deep learning. https://arxiv.org/abs/1604.06174
Sigpy
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276
Python package for signal processing, with emphasis on iterative methods
Show Control And Tell
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273
Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions. CVPR 2019
Libauc
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262
LibAUC: A Deep Learning Library for X-Risk Optimization
Pytorch Trpo
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252
PyTorch implementation of Trust Region Policy Optimization
Thesis
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202
Differentiable Optimization-Based Modeling for Machine Learning
Fewshotlearning
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199
Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"
Pytorch Minimize
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195
Newton and Quasi-Newton optimization with PyTorch
L4casadi
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175
Use PyTorch Models with CasADi and Acados in Python, C(++) or Matlab
Pix2latent
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149
Code for: Transforming and Projecting Images into Class-conditional Generative Networks
Adatune
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144
Gradient based Hyperparameter Tuning library in PyTorch
Shapo
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141
Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization
E2e Model Learning
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133
Task-based end-to-end model learning in stochastic optimization
Monet
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131
MONeT framework for reducing memory consumption of DNN training
Pytorch Sso
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131
PyTorch-SSO: Scalable Second-Order methods in PyTorch
Pytorch Dppo
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129
Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286
Mlogger
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127
a lightweight and simple logger for Machine Learning
Xitorch
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108
Differentiable scientific computing library
Adaptive Inertia Adai
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94
The PyTorch Implementation of Adaptive Inertia Methods. The algorithms are based on our ICML2022 Oral paper: "Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum".
Meta Learning Lstm Pytorch
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92
pytorch implementation of Optimization as a Model for Few-shot Learning
Nao_pytorch
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90
Pytorch Implementation of Neural Architecture Optimization
Simulated Bifurcation Algorithm
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85
Python CPU/GPU implementation of the Simulated Bifurcation (SB) algorithm to solve quadratic optimization problems (QUBO, Ising, TSP, optimal asset allocations for a portfolio, etc.).
Cooper
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83
A general-purpose, deep learning-first library for constrained optimization in Pytorch
Qhoptim
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82
Implementations of quasi-hyperbolic optimization algorithms.
Adam
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82
adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.
Deeplearningwithpytorch
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76
Pyvacy
⭐
73
👁🙅♀️Differentially Private Optimization Algorithms for PyTorch
Deep_learning_topology_opt
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72
Code for paper "Self-Directed Online Machine Learning for Topology Optimization"
Mlopt
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71
The Machine Learning Optimizer
Neural Deferred Shading
⭐
70
Multi-View Mesh Reconstruction with Neural Deferred Shading (CVPR 2022)
Cot
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61
[ICLR'19] Complement Objective Training
Chop
⭐
58
CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
Dfw
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53
Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch
Neural Net Optimization
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49
PyTorch implementations of recent optimization algorithms for deep learning.
Kfac Pytorch
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47
Pytorch implementation of KFAC and E-KFAC (Natural Gradient).
Ppo
⭐
40
PyTorch implementation of Proximal Policy Optimization
Moldqn Pytorch
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40
A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".
Iclassifier
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40
reference pytorch code for intent classification
Waveblocks
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39
Optimization framework developed in Pytorch, allowing calibration, and joint optimization of optics and deep learning models.
Opti_models
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38
PyTorch optimizations and benchmarking
Deep Learning Optimization Algorithms
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37
Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.
Differentiable Shadow Mapping
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36
Differentiable Shadow Mapping for Efficient Inverse Graphics (CVPR 2023)
Ppo Pytorch
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35
Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
Photontorch
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34
Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch
Meent
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34
Electromagnetic simulation (RCWA) & optimization package in Python
Pytorch
⭐
33
Improved LBFGS optimizer in PyTorch.
Pytorch Ppo
⭐
33
Proximal Policy Optimization in PyTorch
Autoopt
⭐
32
Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent
Ppo Pytorch
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32
Proximal policy optimization in PyTorch. Easy to read and understand.
A Tour Of Pytorch Optimizers
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30
A tour of different optimization algorithms in PyTorch.
Fedshare
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30
PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.
Rbp
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29
Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018
Widis Lstm Tools
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28
Tools for working with Long Short-Term Memory (LSTM) networks and sequences in Pytorch
Federated Pytorch Test
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27
Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth
Pytorch Sm3
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25
Implements the SM3-II adaptive optimization algorithm for PyTorch.
Dists
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24
IQA: Deep Image Structure and Texture Similarity Metric
Distributed Ppo
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23
This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).
Admm
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22
Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression
Neuraltexgen
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21
Image-space texture optimization of 3D meshes using PyTorch
Pyblaze
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19
Large-Scale Machine and Deep Learning in PyTorch.
Dnn Bench
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19
A library that lets you easily increase efficiency of your deep learning models with no loss of accuracy.
Ali G
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18
Implementation of the ALI-G algorithm (PyTorch, Tensorflow)
Ppo Pytorch
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18
Pytorch Implementation of Proximal Policy Optimization Algorithm
Loss Landscape Anim
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16
Create animations for the optimization trajectory of neural nets
Abc
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16
SeqGAN but with more bells and whistles
Reinforcement_learning_ppo_rnd
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14
Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation
Artificial Neural Variability For Deep Learning
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14
The PyTorch Implementation of Variable Optimizers/ Neural Variable Risk Minimization. The algorithms are based on the original paper: Artificial Neural Variability for Deep Learning: On overfitting, Noise Memorization, and Catastrophic Forgetting.
Opt_einsum_fx
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13
Einsum optimization using opt_einsum and PyTorch FX graph rewriting
Tts_tf
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12
WIP Tensorflow implementation of https://github.com/mozilla/TTS
Iqa Optimization
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12
Comparison of Image Quality Models for Optimization of Image Processing Systems
Cgds Package
⭐
12
Package for CGD and ACGD optimizers
Mdmm
⭐
10
The Modified Differential Multiplier Method (MDMM) for PyTorch
Pyroed
⭐
10
Bayesian optimization of discrete sequences
Hypernomad
⭐
10
A library for the hyperparameter optimization of deep neural networks
Autosmim
⭐
9
[TMI' 23] autoSMIM: Automatic Superpixel-based Masked Image Modeling for Skin Lesion Segmentation
Sotorch
⭐
9
Auxiliary second-order optimization tools compatible with PyTorch.
Fieldofjunctions
⭐
9
Implementation of paper: Field of Junctions
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