Alternatives and similar repositories for deep-autocomplete

Users that are interested in deep-autocomplete are comparing it to the libraries listed below

• trydoff / ML-Portal-FastAPI
  A complete end-to-end machine learning portal that covers processes starting from model training to the model predicting results using Fa…
  ☆43Updated 3 years ago
• rjurney / weakly_supervised_learning_code
  The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
  ☆36Updated 4 years ago
• mathangpeddi / Laptop-Prices-Predictor
  Laptop Prices Predictor is an end-to-end data science project that accurately predicts laptop prices using machine learning algorithms. T…
  ☆14Updated last year
• avinregmi / Panini_Tutorial
  Deploy Pytorch models to production via panini
  ☆10Updated 6 years ago
• bgokden / anomaly-detection-with-autoencoders
  Anamoly Detection with Autoencoders - Credit Card Fraud Case
  ☆16Updated 5 years ago
• brainy749 / CreditRiskPaper
  Codes for replication and implementation of techniques in our credit risk article
  ☆34Updated 6 years ago
• MartinThoma / edapy
  Exploratory Data Analysis with Python
  ☆22Updated 2 years ago
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆57Updated 5 years ago
• Dhanush45 / Realtime-emotion-detectionusing-python
  ☆34Updated 5 years ago
• PiotrTa / Mining-Massive-Datasets
  Data mining algorithms with Python
  ☆10Updated 6 years ago
• gauravmunjal13 / Agriculture
  Identification of crop diseases and pests using Deep Learning framework from the images.
  ☆26Updated 7 years ago
• munnafaisal / Deep-Object-Search-With-Hash
  Search your object with hash
  ☆12Updated 2 years ago
• RamyaVidiyala / MovieRecommenderSystem
  A movie recommender system that considers user-user similarity, item-item similarity, global averages, and matrix factorization.
  ☆14Updated 4 years ago
• dattarajrao / keras2kubernetes
  Open source project to deploy Keras Deep Learning models packaged as Docker containers on Kubernetes.
  ☆65Updated last year
• OlgaBelitskaya / deep_learning_projects
  ☆38Updated 4 years ago
• jamesdellinger / fastai_deep_learning_course_part2_v3
  My projects for fast.ai's Deep Learning from the Foundations course (fast.ai part2v3)
  ☆39Updated 5 years ago
• balavenkatesh3322 / model_deployment
  A collection of model deployment library and technique.
  ☆72Updated 5 years ago
• gm-spacagna / docem
  The repository contains the code and notebooks for the tutorials on how to extract embedding features from pictures using the ResNext mod…
  ☆15Updated 4 years ago
• tejasmagia / DetectCarParkingSlot_Contest
  Detecting car parking slot on Open car park space
  ☆13Updated 5 years ago
• chudzikr / Fraud_Detection_in_Python
  Fraud Detection in Python, DataCamp course
  ☆12Updated 5 years ago
• Ritvik19 / pyradox
  State of the Art Neural Networks for Deep Learning
  ☆62Updated 3 years ago
• charumakhijani / spark-ml-deployment
  ☆11Updated 4 years ago
• akTwelve / YOLACT-tutorial
  A tutorial for using YOLACT in Google Colab
  ☆36Updated 5 years ago
• lballore / deep-learning-with-python
  TensorFlow 2.* exercises from the book "Deep Learning with Python" by François Chollet
  ☆48Updated 4 years ago
• zensors / datatap-python
  Focus on Algorithm Design, Not on Data Wrangling
  ☆34Updated 3 years ago
• asvcode / 1_cycle
  A disciplined approach to neural network parameters - Reviewing the approach for setting Hyper parameters by Leslie Smith
  ☆12Updated 7 years ago
• d2l-ai / d2l-tensorflow-colab
  Automatically Generated Notebooks for Colab
  ☆39Updated 2 years ago
• AdityaDutt / Siamese-Networks-Tutorial
  ☆14Updated 4 years ago
• anki1909 / Recruit-Restaurant-Visitor-Forecasting
  6th place solution for Recruit-Restaurant-Visitor-Forecasting
  ☆17Updated 7 years ago
• MIR-MU / seqrep
  Scientific framework for representation in sequential data
  ☆11Updated 3 years ago