Alternatives and similar repositories for tensorflow-deep-learning-mrdbourke

Users that are interested in tensorflow-deep-learning-mrdbourke are comparing it to the libraries listed below

• snehankekre / Deploy-Deep-Learning-Models-TF-Serving-Docker
  Official repository of "TensorFlow Serving with Docker for Model Deployment" Coursera Project
  ☆24Updated 5 years ago
• ashishpatel26 / best-of-ml-python
  🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
  ☆21Updated 3 years ago
• srivatsan88 / ContinousModelDeploy
  This is code depository for my upcoming session. Will update details post the session
  ☆40Updated 2 years ago
• ashishpatel26 / Kubeflow-installation-on-windows-10
  Kubeflow installation on windows 10/11
  ☆17Updated 2 years ago
• The-AI-Summer / learn-deep-learning
  AI Summer's complete catalog of articles
  ☆111Updated 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 4 years ago
• sayakpaul / Handwriting-Recognizer-in-Keras
  This project shows how to build a simple handwriting recognizer in Keras with the IAM dataset.
  ☆13Updated 4 years ago
• komal11lamba / 50-days-of-Statistics-for-Data-Science
  This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded …
  ☆29Updated 3 years ago
• Nyandwi / algorithms
  Agorithms and data structures in Python 🐍
  ☆36Updated 3 years ago
• ashishpatel26 / Tensorflow_object_detection_api_install_in_single_line
  Tensorflow object detection api in single line
  ☆12Updated 3 years ago
• tomwalczak / food-vision-mobile-tensorflowjs
  Food Vision project for mobile devices using TensorFlowJS
  ☆23Updated 4 years ago
• dipanjanS / convolutional_neural_networks_essentials
  Contains presentation deck and notebooks showcasing fundamental concepts and hands-on examples for Convolutional Neural Networks
  ☆45Updated 4 years ago
• parulnith / Data-Science-Articles
  A collection of my blogs on Data Science and Machine learning.
  ☆86Updated 9 months ago
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆91Updated 3 years ago
• ashishpatel26 / LeetCode_Solution
  LeetCode Solution
  ☆10Updated 3 years ago
• dipanjanS / adversarial-learning-robustness
  Contains materials for workshops pertaining to adversarial robustness in deep learning.
  ☆86Updated 4 years ago
• EdemGold / Nutshell-Machine-Learning
  This is a repository built by the community for the community.
  ☆81Updated 3 years ago
• ThinamXx / HuggingFace
  I am learning from Hugging Face.
  ☆22Updated last year
• dipanjanS / ml_model_deployment_example
  A simple example to showcase machine learning model deployment with an API
  ☆10Updated 3 years ago
• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆42Updated 4 years ago
• PacktPublishing / Machine-Learning-Model-Serving-Patterns-and-Best-Practices
  Machine Learning Model Serving Patterns and Best Practices
  ☆35Updated last week
• ashishpatel26 / MLOps-Engineering-in-Action
  Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson
  ☆20Updated last year
• alvarobartt / serving-tensorflow-models
  Serving TensorFlow models with TensorFlow Serving
  ☆43Updated 3 years ago
• mrdbourke / food-not-food
  Machine Learning powered app to decide whether a photo is food or not.
  ☆58Updated 3 years ago
• thushv89 / manning_tf2_in_action
  The official code repository for "TensorFlow in Action" by Manning.
  ☆90Updated 2 years ago
• ThinamXx / MLOps
  The repository contains a list of projects which I will work on while learning and implementing MLOps.
  ☆79Updated 2 years ago
• nishkalavallabhi / practicalnlp
  Chapter-wise notebooks for the book 'Practical Natural Language Processing'
  ☆10Updated 5 years ago
• sayakpaul / Emotion-Detection-using-Deep-Learning
  This project demonstrates the use of Deep Learning to detect emotion (sad, angry, happy etc) from the images of faces.
  ☆10Updated 5 years ago
• kunalj101 / wns_analytics_wizard_2019
  Winners' solution approach and code for WNS Analytics Wizard 2019
  ☆11Updated 2 years ago
• charumakhijani / spark-ml-deployment
  ☆11Updated 4 years ago