Awesome Open Source

Programming Languages

Search results for deep learning rating

deep-learning x

7 search results found

Recommenders ⭐ 17,972

Best Practices on Recommendation Systems

Deeprec ⭐ 1,068

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

Speech To Text Benchmark ⭐ 570

speech to text benchmark framework

Pytorch Gradual Warmup Lr ⭐ 511

Gradually-Warmup Learning Rate Scheduler for PyTorch

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

Deep Ctr ⭐ 399

An attempt of training DNN models to predict ad click-through rate, implemented with Theano.

Iclr2021 Openreviewdata ⭐ 365

Crawl & visualize ICLR papers and reviews.

Generative Adversarial Networks Roadmap ⭐ 346

The Roadmap to Learn Generative Adversarial Networks (GANs)

Pytorch_warmup ⭐ 337

Learning Rate Warmup in PyTorch

Snapshot Ensembles ⭐ 277

Snapshot Ensemble in Keras

Recommend System Tf2.0 ⭐ 262

原理解析及代码实战，推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴，欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues，也可加文末的联系方式向我询问！

Rnn_ctc ⭐ 216

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

Freezeout ⭐ 192

Accelerate Neural Net Training by Progressively Freezing Layers

Snapshotensemble ⭐ 159

Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)

Nsga Net ⭐ 114

NSGA-Net, a Neural Architecture Search Algorithm

Deep Autoencoders For Collaborative Filtering ⭐ 111

Using Deep Autoencoders for predictions of movie ratings.

Adaptive Inertia Adai ⭐ 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".

Aideveloper ⭐ 74

GUI-based software for training, evaluating and applying deep neural nets for image classification

Atec Nlp ⭐ 74

ATEC 金融大脑-金融智能NLP服务

One_cycle_policy ⭐ 70

Pytorch notebook with One Cycle Policy implementation (https://arxiv.org/abs/1803.09820)

Data Science And Machine Learning Projects Dojo ⭐ 67

collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc

Trading Stock Thailand ⭐ 64

Query Wellformedness ⭐ 63

25,100 queries from the Paralex corpus (Fader et al., 2013) annotated with human ratings of whether they are well-formed natural language questions.

Char Rnn Text Generation ⭐ 54

Character Embeddings Recurrent Neural Network Text Generation Models

Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)

Product Key Memory ⭐ 50

Standalone Product Key Memory module in Pytorch - for augmenting Transformer models

Neural Net Optimization ⭐ 49

PyTorch implementations of recent optimization algorithms for deep learning.

Keras Swa ⭐ 48

Simple stochastic weight averaging callback for Keras

Character Level Cnn Pytorch ⭐ 47

Character-level CNN for text classification

Resnet.torch ⭐ 35

an updated version of fb.resnet.torch with many changes.

Iex Cloud ⭐ 35

IEX Cloud API TypeScript Client

This repository contains the code related to the paper 'DENet: a deep architecture for audio surveillance applications'.

Character Level Cnn Tensorflow ⭐ 25

Character-level CNN for text classification

Recommendation_papers ⭐ 24

paper collection for recommendation aspet

Numpy_neural_net ⭐ 24

A simple neural network (multilayer perceptron) with backpropagation implemented in Python with NumPy

Neural Network From Scratch Python ⭐ 24

A simple implementation to create and train a neural network in python. This implementation does not use any machine learning framework.

Functional gradient boosting based on residual network perception

Stven_rppgnet ⭐ 21

Main code of "Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement"

Trafficsignrecognition ⭐ 20

A Deep Neural Network to do traffic sign recognition

A learning rate recommending and benchmarking tool.

predicting yelp review rating using recurrent neural networks

Simply feedforward neural network

Learning Rates ⭐ 17

How optimizer and learning rate choice affects training performance

The implementation of "PARL: Let Strangers Speak Out What You Like", Libing Wu, Cong Quan, Chenliang Li, Donghong Ji, https://doi.org/10.1145/3269206.3271695

Optimizers For Tensorflow ⭐ 15

Adam, NAdam and AAdam optimizers

Outbrain Ctr Character Level Cnn Tf ⭐ 15

Convolutional Neural Network for Click-Through Rate prediction.

Implementation for Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews.

Deeprecommender ⭐ 11

Training Deep AutoEncoders for Collaborative Filtering

Dien Tf2 ⭐ 10

Deep Interest Network for Click-Through Rate Prediction / Deep Interest Evolution Network for Click-Through Rate Prediction

Webthetics ⭐ 10

[IJHCS'19] Webthetics: Webpage Aesthetics Quantification with Deep Learning

Pytorch Polynomial Lr Decay ⭐ 10

Polynomial Learning Rate Decay Scheduler for PyTorch

AdaShift optimizer implementation in PyTorch

Movie Recommendation System ⭐ 9

Contains code which covers various methods for recommending movies, some of the methods include matrix factorisation , deep learning based recommendation systems

DeepNCM: Deep Nearest Class Mean Classifiers

IEX Cloud API client in Go

Densenet_cifar10 ⭐ 6

Meta-learning learning rates with higher

Sequence Labeling ⭐ 6

Sequence Labeling implemented by BiLSTM using Tensorflow

Superconv ⭐ 5

TensorFlow/Keras implementation of the paper: 'Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates'

Deep Learning-based Laser Speckle Reduction

Quickdrawclassifier ⭐ 5

Classifying images from Google Quick Draw

Adaptive Lr Dnn ⭐ 5

Implementation of Adaptive Learning Rate as inverse of Lipschitz constant in deep neural networks.

Datafiniti Hotels Sentiment ⭐ 5

Predict a rating from a hotel stay review using Deep Learning

Next Item Recommendation Using Keras ⭐ 5

Next-item recommendation on top of Amason’s explicit rating dataset, using deep learning with Keras

Dqn Snake ⭐ 5

Deep Reinforcement Learning algorithm to learn to play Snake

Lr Momentum Scheduler ⭐ 5

Pytorch implementation of arbitrary learning rate and momentum schedules, including the One Cycle Policy

User_profile ⭐ 5

Pytorch Lr Explorer ⭐ 5

A Jupyter notebook exploring sophisticated learning rate strategies for training deep neural networks

Related Searches

Python Deep Learning (13,092)

Jupyter Notebook Deep Learning (11,131)

Deep Learning Pytorch (6,767)

Deep Learning Neural Network (5,801)

Deep Learning Tensorflow (4,441)

Deep Learning Convolutional Neural Networks (4,142)

Deep Learning Neural (3,734)

Network Deep Learning (3,532)

Deep Learning Computer Vision (3,365)

Deep Learning Keras (3,258)

1-7 of 7 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.