Alternatives and similar repositories for Introduction-to-Deep-Learning-and-Neural-Networks-Course:

Users that are interested in Introduction-to-Deep-Learning-and-Neural-Networks-Course are comparing it to the libraries listed below

• The-AI-Summer / awesome-machine-learning-bootcamps
  A curated list of bootcamps and platforms to learn Machine Learning and Data Science
  ☆16Updated 4 years ago
• alexeygrigorev / keras-image-helper
  A lightweight library for pre-processing images for pre-trained keras models
  ☆12Updated 2 years ago
• kwangyy / midterm-project
  ☆12Updated 3 years ago
• khuyentran1401 / Machine-learning-pipeline
  Example machine learning pipeline with MLflow and Hydra
  ☆88Updated last year
• hamedonline / ml-workflow
  A hands-on case study for demonstrating the stages involved in a machine learning project, from EDA to production.
  ☆37Updated last year
• ashishpatel26 / Computer-Vision-Papers-of-the-week
  Computer Vision Papers of the week
  ☆17Updated 2 years ago
• The-AI-Summer / learn-deep-learning
  AI Summer's complete catalog of articles
  ☆108Updated 3 years ago
• dennisbakhuis / Tutorials
  Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
  ☆56Updated 3 years ago
• ThinamXx / ComputerVision
  The repository is dedicated towards the implementation of Computer Vision.
  ☆25Updated 3 years ago
• Andrew-Ng-s-number-one-fan / Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow
  A book by Aurélien Géron
  ☆23Updated 4 years ago
• PacktPublishing / Artificial-Intelligence-By-Example-Second-Edition
  Artificial Intelligence By Example Second Edition, published by Packt
  ☆49Updated 4 years ago
• The-AI-Summer / deep-learning-visuals
  A collection of 100 Deep Learning images and visualizations
  ☆75Updated 3 years ago
• ThinamXx / MLOps
  The repository contains a list of projects which I will work on while learning and implementing MLOps.
  ☆78Updated 2 years ago
• PacktPublishing / Machine-Learning-for-Streaming-Data-with-Python
  Machine Learning for Streaming Data with Python, published by Packt
  ☆69Updated last year
• Niranjankumar-c / DeepLearning-PadhAI
  All the code files related to the deep learning course from PadhAI
  ☆101Updated 4 years ago
• ivan-bilan / Deep-Learning-for-NLP-Tutorials
  Tutorials for using Tensorflow and Keras for NLP
  ☆14Updated 7 years ago
• noahgift / edge-computer-vision
  Edge Computer Vision Course
  ☆46Updated 2 months ago
• thushv89 / manning_tf2_in_action
  The official code repository for "TensorFlow in Action" by Manning.
  ☆88Updated last year
• ritchieng / the-incredible-tensorflow
  The Incredible TensorFlow 2: a curated list of tutorials, papers, projects, communities and more relating to TensorFlow 2.
  ☆30Updated 5 years ago
• dipanjanS / adversarial-learning-robustness
  Contains materials for workshops pertaining to adversarial robustness in deep learning.
  ☆86Updated 3 years ago
• MimiCheng / kaggle-protein-image-classification
  This is the solution for Kaggle human protein classification competition.
  ☆12Updated 3 years ago
• dipanjanS / practical_nlp_workshop_gids20
  Contains relevant notebooks for the hands-on NLP workshop for the GIDS AIML Conference -2020 Edition
  ☆23Updated 3 years ago
• mallahyari / ml_tutorial
  This repository explains machine learning concepts
  ☆54Updated last year
• iNeuronai / MachineLearningModelToHeroku
  Deployment of a Machine Learning Model to Heroku Cloud
  ☆20Updated 2 years ago
• PacktPublishing / Exploratory-Data-Analysis-with-Pandas-and-Python-3.x
  Exploratory Data Analysis with Pandas and Python 3.x, published by Packt
  ☆44Updated 2 years ago
• alvarobartt / serving-tensorflow-models
  Serving TensorFlow models with TensorFlow Serving
  ☆44Updated 3 years ago
• IvanReznikov / mdx-msc-data-science
  Middlesex University Dubai: MSc Data Science. Modelling, Regression and Machine Learning track. Instructor: Dr. Ivan Reznikov
  ☆76Updated last year
• neptune-ai / blog-binary-classification-metrics
  Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"
  ☆55Updated 5 years ago
• Jcharis / Interpreting-Machine-Learning-Models
  Interpreting Machine learning Models(ML Models,DL models) with Lime,Eli5,Shap,etc
  ☆25Updated 3 years ago
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆52Updated 3 years ago