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95 search results found

Pytorch Handbook ⭐ 18,594

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友

Amazon Sagemaker Examples ⭐ 9,221

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Vision_transformer ⭐ 8,669

Flaml ⭐ 3,500

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Scikit Learn Videos ⭐ 3,180

Jupyter notebooks from the scikit-learn video series

Advisor ⭐ 1,202

Open-source implementation of Google Vizier for hyper parameters tuning

Modelarts Lab ⭐ 935

ModelArts-Lab是示例代码库。更多AI开发学习交流信息，请访问华为云AI开发者社区：hua

Transformers Tutorials ⭐ 777

Github repo with tutorials to fine tune transformers for diff NLP tasks

Kerasgan ⭐ 501

A couple of simple GANs in Keras

Sagemaker Deployment ⭐ 445

Code and associated files for the deploying ML models within AWS SageMaker

Adaptnlp ⭐ 371

An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

Dl For Emo Tts ⭐ 350

💻 🤖 A summary on our attempts at using Deep Learning approaches for Emotional Text to Speech 🔈

Recsys_course_at_polimi ⭐ 346

This is the official repository for the Recommender Systems course at Politecnico di Milano.

Optunity ⭐ 343

optimization routines for hyperparameter tuning

Deeplab_v2 ⭐ 135

基于v2版本的deeplab,使用VGG16模型，在VOC2012，Pascal-context，N

Alexnet Experiments Keras ⭐ 101

Code examples for training AlexNet using Keras and Theano

Mxnet Finetuner ⭐ 99

An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.

Competitive Data Science 1 ⭐ 96

How to Win a Data Science Competition: Learn from Top Kagglers

Lstm_chem ⭐ 91

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

Finetune Detr ⭐ 90

Fine-tune Facebook's DETR (DEtection TRansformer) on Colaboratory.

Dataminingnotesandpractice ⭐ 88

记录我学习数据挖掘过程的笔记和见到的奇技，持续更新～

Fttl With Keras ⭐ 80

Transfer Learning and Fine Tuning for Cross Domain Image Classification with Keras

Code for the paper "Facial Emotion Recognition: State of the Art Performance on FER2013"

Bregmantoolkit ⭐ 73

Audio and Music Analysis and Synthesis in Python

Apache Spark (Scala, PySpark, SparkR) Code, Tricks, and References

Vae_captioning ⭐ 52

Implementation of Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space

Deeplabv3finetuning ⭐ 49

Tutorial on fine tuning DeepLabv3 segmentation network for your own segmentation task in PyTorch.

Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)

Transfer Learning For Nlp ⭐ 34

Companion repository to Paul Azunre's "Transfer Learning for Natural Language Processing" book

Sagemaker Notebooks ⭐ 34

Amazon SageMaker examples with Japanese comments: SageMakerのサンプルです

Keras Hypetune ⭐ 33

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

Pytorch Handbook ⭐ 33

Kobertsum ⭐ 31

KoBertSum은 BertSum모델을 한국어 데이터에 적용할 수 있도록 수정한 한국어 요약 모델입니다.

Mongolian Text Classification ⭐ 31

Cyrillic Mongolian text classification with tensorflow 2, and also some fine-tuning on TugsTugi's Mongolian BERT model and other NLP experiments are included.

Fraud_detection ⭐ 30

Tuning XGBoost hyper-parameters with Simulated Annealing

Qatar_2022_prediction ⭐ 29

QATAR 2022 World Cup prediction from the international matches played since the 90s, the qualifications of the teams in their last matches, and the potential of each team.

Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking

Molpmofit ⭐ 28

Bertgenerate ⭐ 26

Fine tuning bert for text generation

Retinanet Tensorflow2.x ⭐ 25

TensorFlow2.x implementation of RetinaNet

Neural Voice Cloning ⭐ 23

Neural Voice Cloning with a few voice samples, using the speaker adaptation method. Speaker adaptation is based on fine-tuning a multi-speaker generative model with a few cloning samples.

Recsys19_hybridsvd ⭐ 21

Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.

Machine Learning Dataschool ⭐ 20

Detailed notes and code to learn the basics of machine learning with scikit-learn.

Global, derivative-free optimization for hyperparameter tuning

Relevancytuning ⭐ 19

Dice.com tutorial on using black box optimization algorithms to do relevancy tuning on your Solr Search Engine Configuration from Simon Hughes Dice.com

Skin_lesions_classification_dcnns ⭐ 18

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

Bert_quora_question_pairs ⭐ 18

BERT Model Fine-tuning on Quora Questions Pairs

Unconventional Wisdom ⭐ 17

[ICBSLP 2018] 6th place solution to Kaggle Bengali Handwritten Higit Recognition

Book Recommendation System ⭐ 17

Personalized book recommender system to generate top 5 recommendations to users

Bert_chinese ⭐ 16

Protease Gcnn Pytorch ⭐ 15

Letspic Dl ⭐ 15

Cityscapes Segmentation With Unet ⭐ 15

Multiclass image segmentation in Keras

Mlflow Example ⭐ 14

This repository provides an example of dataset preprocessing, GBRT (Gradient Boosted Regression Tree) model training and evaluation, model tuning and finally model serving (REST API) in a containerized environment using MLflow tracking, projects and models modules.

Kogpt2 Sagemaker ⭐ 14

Tutorial to show how to deploy KoGPT2 model to Amazon SageMaker at scale, and how to fine-tune KoGPT2 model for downstream NLP tasks

Pos Tagger Bert ⭐ 13

BERT fine-tuning for POS tagging task (Keras)

Pycon Korea 2020 Kb Albert ⭐ 12

Inroduction of ALBERT to understand Korean language in Financial domain with Hugging Face's Transformers

Ep2017_tutorial_tune_performance ⭐ 12

Tutorial files and code the EuroPython 2017 tutorial, "A Hands-On Approach to Tuning Python Applications for Performance".

Machine Learnings ⭐ 11

Some code snippets / explanations showing things i learned in machine learning (scikit-learn/python)

Auto Labelling Model Tuning Amazon Sagemaker ⭐ 11

Automatic labelling and model tuning with amazon sagemaker

Ml Workshop Intermediate 1 Of 2 ⭐ 11

Simulated_annealing ⭐ 10

An efficient hyper parameter tuning algorithm.

Torchnet M2caiworkflow ⭐ 10

Finalist entry for the M2CAI Workflow Challenge 2016

Writing With Bert ⭐ 10

Using BERT for doing the task of Conditional Natural Language Generation by fine-tuning pre-trained BERT on custom dataset.

Molecular Graph Bert ⭐ 10

semi-supervised learning for molecular property prediction

Sagemaker Tensorflow Tutorial ⭐ 10

Pythonworkshop ⭐ 10

Fundementals of Performace Tuning for Python Applications (Princeton U workshop)

Youtube8m 19 ⭐ 9

The 3rd YouTube-8M Video Understanding Challenge 2019

Multilingual Bert ⭐ 9

Investigating multilingual language models (BERT) by using them for NER in German and English

Machinelearning Datascience ⭐ 9

Complete Machine Learning and Data Science: Zero to Mastery

Ulmfit_es ⭐ 8

Twitterbot Gpt2 ⭐ 7

This repository contains code for fine-tuning GPT-2 on 76k quotes, and then make a Twitter bot out of it. Demo: @PeeingThoughts

Transformers ⭐ 7

Ipython notebooks of walk-trough Transformer model implementations in PyTorch and GPT-2 fine-tuning.

Datascience ⭐ 7

A repository for my personal data science projects

Opponency ⭐ 7

Code for the paper: Spatial and Colour Opponency in Anatomically Constrained Deep Networks

Tuning-free sparse variable selection with the TREX

Nlp_topic_embeddings ⭐ 6

Classifying financial complaints into >400 categories, using Natural Language Processing (NLP) and deep-learning. Specifically, I explore the using of "topic embedding" (inspired by the InstaCart models) to reduce the effective dimensionality of the financial "sub-issues" into a low-dimension space. This was a demo-project for Insight Data Toronto

Xgbregressor ⭐ 6

A simple implementation to regression problems using Python 2.7, scikit-learn and XGBoost

hULMonA (حلمنا): tHe first Universal Language MOdel iN Arabic

Machinelearning ⭐ 6

Slogan Generator ⭐ 6

A simple slogan generator built by fine-tuning GPT-2 on ~10,000 company and product taglines

Mltuner Geeps ⭐ 6

GeePS with automatic tuning on learning rate, momentum, batch size, data staleness and more.

Fine Tuning Cnn ⭐ 6

Fine-tuning CNN with Chainer

Python implementation of randomized automatic tuning process for model hyper-parameters, building on Scikit-Learn GridSearchCV;

Food_classification ⭐ 5

Code for fine-tuning a CNN in order to classify a set of food images

Time Aware Pbpm ⭐ 5

Coling2018 ⭐ 5

Accompanying code for "Using J-K-fold Cross Validation to Reduce Variance When Tuning NLP Models" from COLING 2018

Crane_plus_v2_motion_planning ⭐ 5

Code and models for the Crane+V2 (4DOF + gripper) with the MoveIt! Framework in ROS

Fine Tuning Bert For Text Classification ⭐ 5

Dkube Examples ⭐ 5

Bert_fine_tuning ⭐ 5

Work in progress for fine tuning the BERT for multi-class classification problem

Deep Learning Workshop ⭐ 5

Code examples for deep learning workshop

Transfer Learning And Fine Tuning With Pre Trained Networks ⭐ 5

Bayesian Optimization ⭐ 5

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