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163 search results found

Aialgorithmsandapplications ⭐ 39

Course Material: AI Algorithms and Applications with Python I + II

DRiLLS: Deep Reinforcement Learning for Logic Synthesis Optimization (ASPDAC'20)

Deep Learning Optimization Algorithms ⭐ 37

Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.

Rethinking Bnn Optimization ⭐ 37

Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"

Deep Learning Specialization Coursera ⭐ 36

Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.

Differentiable Shadow Mapping ⭐ 36

Differentiable Shadow Mapping for Efficient Inverse Graphics (CVPR 2023)

Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization

Ppo Pytorch ⭐ 35

Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)

Photontorch ⭐ 34

Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch

Improved LBFGS optimizer in PyTorch.

Keras Hypetune ⭐ 33

A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.

Swarmopt ⭐ 32

Swarm intelligence optimizer

Jitrench.jl ⭐ 32

[wip] Lightweight Automatic Differentiation & DeepLearning Framework implemented in pure Julia.

Protograd.jl ⭐ 31

Deep learning 99% fat free

Tvm In Action ⭐ 31

TVM stack: exploring the incredible explosion of deep-learning frameworks and how to bring them together

Generalized Data-free Universal Adversarial Perturbations

Geoscience Ml Tutorial ⭐ 29

Some simple tutorials about machine learning / deep learning / optimization in geosciences.

Variance_reduced_neural_networks ⭐ 29

Implementation of SVRG and SAGA optimization algorithms for deep learning topics.

real-estate data prediction system

Noviceml ⭐ 29

도서 머신러닝·딥러닝에 필요한 기초 수학 with 파이썬의 예제 코드와 그래프 그리는 코드 및 웹앱 저장소

Swift Tensor Extensions for Machine-learning

Federated Pytorch Test ⭐ 27

Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth

Simplify ⭐ 27

Simplification of pruned models for accelerated inference | SoftwareX https://doi.org/10.1016/j.softx.2021.100907

NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning

A numerical optimisation and deep learning framework for D.

IQA: Deep Image Structure and Texture Similarity Metric

Deep Learning Advanced Topics ⭐ 24

Why Train When You Can Optimize ⭐ 24

Learn multi-variable optimization by creating a drawing assistant. No deep learning required!

Visualizing_momentum ⭐ 23

Visualizing Gradient Descent with Momentum in Python

Dmazerunner ⭐ 23

dMazeRunner: Dataflow acceleration optimization infrastructure for coarse-grained programmable accelerators

Deepfmpo ⭐ 21

Code accompanying the paper "Deep reinforcement learning for multiparameter optimization in de novo drug design"

Pydata London 2018 ⭐ 20

Slides and notebooks for my tutorial at PyData London 2018

Retrieval-augmented LMs, at scale

Neural Color Transfer ⭐ 20

The source code of "single-reference color transfer" in "Progressive Color Transfer with Dense Semantic Correspondences".

Neurips 2019 Papers By Category ⭐ 19

mo papers mo problems

FluidML is a lightweight framework for developing machine learning pipelines.

Large-Scale Machine and Deep Learning in PyTorch.

Dnn Bench ⭐ 19

A library that lets you easily increase efficiency of your deep learning models with no loss of accuracy.

Content-aware Scalable Deep Compressed Sensing (TIP 2022) [PyTorch]

Deep Learning with Metaheuristic

Implementation of the ALI-G algorithm (PyTorch, Tensorflow)

Relative Gradient Jacobian ⭐ 17

Relative gradient optimization of the Jacobian term in unsupervised deep learning.

Scalable, structured, dynamically-scheduled hyperparameter optimization.

Gradient Energy Matching ⭐ 17

Manuscript and code for the paper "Gradient Energy Matching for Distributed Asynchronous Gradient Descent".

Dynmt Py ⭐ 16

Neural machine translation implementation using dynet's python bindings

Awesome Multi Task Learning ⭐ 16

Paper List for Multi-Task Learning (focus on architectures and optimization for MTL)

End2end Job Shop Scheduling Cp ⭐ 16

An end to end reinforcement learning approach with a reinforcement learning environment modeled as a CP model

Finance World ⭐ 16

Optimization techniques on the financial area for the hedging, investment starategies, and risk measures

Windows_optimization ⭐ 16

Implementation of "Practical Window Setting Optimization for Medical Image Deep learning"

Rlinwifi ⭐ 15

Code for "Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning" article published at WCNC 2021.

Scadec Deep Learning Diffractive Tomography ⭐ 15

Efficient and accurate inversion of multiple scattering with deep learning

Artificial Neural Variability For Deep Learning ⭐ 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.

GUI for Keras and TensorFlow with integrated hyperparameter optimization and NLP

Machine Learning Summer Schools ⭐ 14

Curated materials for different machine learning related summer schools

Reinforcement Learning ⭐ 14

Variants Of Rmsprop And Adagrad ⭐ 13

SC-Adagrad, SC-RMSProp and RMSProp algorithms for training deep networks proposed in

Genetic_deep_learning ⭐ 13

Gcp_optimization ⭐ 13

WIP Tensorflow implementation of https://github.com/mozilla/TTS

Machine learning's parameter search and feature selection module which is integrated log management and visualization.

Deep Rl For Portfolio Optimization ⭐ 12

Deep Reinforcement Learning for Portfolio Optimization

Advanced Foundations Of Ml ⭐ 10

A curated list of references to help you get up to speed with the concepts and techniques needed to become a successful ML researcher.

Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"

Hypernomad ⭐ 10

A library for the hyperparameter optimization of deep neural networks

FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks

Weight-Averaged Sharpness-Aware Minimization

Official code for the "Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds"

Talks Keynotes Slides ⭐ 9

My invited Keynote/Talk at Conferences, Universities, Companies, etc.

Neuralnetwork ⭐ 9

Neural Network implementation in Numpy and Keras. Batch Normalization, Dropout, L2 Regularization and Optimizers

Paper reading list

Deep Bayesian Quadrature Policy Optimization ⭐ 9

Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.

Coursera Ng Improving Deep Neural Networks Hyperparameter Tuning Regularization And Optimization ⭐ 9

Short description for quick search

Introduction_to_deep_learning_coursera ⭐ 9

Intro to Deep Learning by National Research University Higher School of Economics

⛰️ RockyML - A High-Performance Scientific Computing Framework for Non-smooth Machine Learning Problems

Coursera Deep Learning Specialization ⭐ 8

Andrew Ng(吴恩达)

Gnn For Combinatorial Optimization ⭐ 8

JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.

Artificial Intelligence ⭐ 8

Artificial Intelligence + Deep Learning

Onpolicybaselines ⭐ 8

on-policy optimization baselines for deep reinforcement learning

Deep Learning Specialization ⭐ 8

This repository contains the programming assignments and slides from the deep learning course from coursera offered by deeplearning.ai

Knetnlpmodels.jl ⭐ 8

An NLPModels Interface to Knet

Udacity Deeprl Ppo ⭐ 8

Udacity Deep Reinforecment Learning - Implementation of Proximal Policy Optimization (PPO)

Dl Project Template ⭐ 8

A lightweight yet functional project template for various deep learning projects.

ALMOND: Adaptive Latent Modeling and Optimization via Neural Networks and Langevin Diffusion

Ml Dl Rl_codes ⭐ 8

This repository contains codes starting from the basic machine learning to advanced topics in Ipython Notebooks.

Wind Turbines Edge Ai ⭐ 7

Detect wind turbine errors using a hybrid model. Utilize ML, DL, edge computing. Dataset, neural network optimized with genetic algorithms. Low computational power ML models. Data is stored in the cloud. Turbine status via secure APIs. Password encryption. GRASP, SOLID

Neurospector ⭐ 7

NeuroSpector: Dataflow and Mapping Optimization of Deep Neural Network Accelerators

Brunoflow ⭐ 7

A simple, well-documented, pedagogical deep learning framework implemented entirely in Python

Ai Paper References ⭐ 7

References for read papers + relevant links

Tvm Learning ⭐ 7

TVM learning and research

Trimmed_penalty ⭐ 7

Implementations for "Trimming the ℓ₁ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning" Published on ICML 2019

TensorFlow Deep Learning Hyperparameter Optimization

Improving Deep Neural Networks ⭐ 7

Improving-Deep-Neural-Networks

Deep learning architecture optimization

Ntua Multi Criteria Decision Analysis ⭐ 7

📈Multiple-Criteria Decision Analysis (MCDA) techniques enhanced with Deep Learning Techniques to solve a Securities Selection (Stocks) problem

Edaoncloud ⭐ 7

Characterizing and Optimizing EDA Flows for the Cloud (DATE'2021 and TCAD)

Simpledeepnettoolbox ⭐ 7

Simple MATLAB toolbox for deep learning network: Version 1.0.3

C computation graph, AutoGrad with OpenCL support [WIP]

Chameleon ⭐ 6

Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation

Bayesian_dl ⭐ 6

Let's understand about Bayesian Deep Learning

Deep Physics-Guided Unrolling Generalization for Compressed Sensing (IJCV 2023) [PyTorch]

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