Alternatives and similar repositories for Learn-TensorFlow

Users that are interested in Learn-TensorFlow are comparing it to the libraries listed below

• ashishpatel26 / MLflow_End_to_End_Example
  MLflow is Open source platform for the machine learning lifecycle so here you can learn MLflow End to End Example with Prediction.
  ☆13Updated 3 years ago
• ashishpatel26 / Kubeflow-installation-on-windows-10
  Kubeflow installation on windows 10/11
  ☆17Updated 2 years ago
• ashishpatel26 / Vision-Transformer-Keras-Tensorflow-Pytorch-Examples
  Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformer
  ☆109Updated 4 years ago
• The-AI-Summer / learn-deep-learning
  AI Summer's complete catalog of articles
  ☆112Updated 3 years ago
• gkunapuli / ensemble-methods-notebooks
  A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
  ☆88Updated 2 years ago
• sushant097 / Deep-Learning-Papers-Reading
  30 Days GANs Paper Reading
  ☆45Updated 2 years ago
• sayakpaul / CI-CD-for-Model-Training
  This repository holds files and scripts for incorporating simple CI/CD practices for model training in ML.
  ☆21Updated 3 years ago
• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆42Updated 4 years ago
• ashishpatel26 / Computer-Vision-Papers-of-the-week
  Computer Vision Papers of the week
  ☆18Updated 2 years ago
• alvarobartt / serving-tensorflow-models
  Serving TensorFlow models with TensorFlow Serving
  ☆43Updated 3 years ago
• ashishpatel26 / Awesome-Pytorch-Tutorials
  Awesome Pytorch Tutorials
  ☆32Updated 3 years ago
• sizhky / torch_snippets
  Utilities for simple needs
  ☆27Updated last month
• NextBrain-ai / nbsynthetic
  nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets
  ☆68Updated 2 years ago
• TalalAhmed311 / Attention-is-all-you-Need
  ☆25Updated 2 years ago
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆89Updated 2 years ago
• ashishpatel26 / Tensorflow_object_detection_api_install_in_single_line
  Tensorflow object detection api in single line
  ☆12Updated 3 years ago
• sayakpaul / Spatial-Transformer-Networks-with-Keras
  This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.
  ☆37Updated 3 years ago
• PacktPublishing / Machine-Learning-Model-Serving-Patterns-and-Best-Practices
  Machine Learning Model Serving Patterns and Best Practices
  ☆35Updated last year
• Frightera / Medium_Notebooks_English
  This repo contains the notebooks that is used in Medium posts.
  ☆24Updated 3 years ago
• sayakpaul / E2E-Object-Detection-in-TFLite
  This repository shows how to train a custom detection model with the TFOD API, optimize it with TFLite, and perform inference with the op…
  ☆32Updated 4 years ago
• IbrahimSobh / Object-Detection
  In this tutorial, you will perform inference across 10 well-known pre-trained object detectors and fine-tune on a custom dataset. Design …
  ☆70Updated 3 years ago
• rasbt / 2021-issdl-gdansk
  Intro to GAN Tutorial for the International Summer School of Deep Learning 2021 in Gdansk
  ☆25Updated 4 years ago
• ashishpatel26 / llm-course
  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
  ☆18Updated last year
• ashishpatel26 / LeetCode_Solution
  LeetCode Solution
  ☆10Updated 3 years ago
• rasbt / model-eval-article-supplementary
  Supplementary material for the article "Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning"
  ☆71Updated 3 years ago
• ashishpatel26 / MLOps-Engineering-in-Action
  Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson
  ☆20Updated last year
• sasidhar-programmer / Tensorflow_Advance_Techniques
  deeplearning.ai Tensorflow advance techniques specialization
  ☆74Updated 4 years ago
• abhi8893 / tensorflow-deep-learning-mrdbourke
  Exploring mrdbourke's awesome 🔥 course on Deep Learning using Tensorflow. Beautiful Jupyter notebooks, a well structured installable Pyt…
  ☆25Updated 3 years ago
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆102Updated 2 years ago
• DavidLandup0 / dl4cv
  Series of notebooks accompanying the book "Practical Deep Learning for Computer Vision with Python" to get you from walking to running in…
  ☆34Updated 2 years ago