|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Tensorflow Examples||42,312||8 months ago||218||other||Jupyter Notebook|
|TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)|
|100 Days Of Ml Code||40,344||3 months ago||61||mit|
|100 Days of ML Coding|
|100 Days Of Ml Code||19,753||a year ago||9||mit||Jupyter Notebook|
|Recommenders||15,829||2||9 hours ago||11||April 01, 2022||161||mit||Python|
|Best Practices on Recommendation Systems|
|Awesome Pytorch List||14,103||3 days ago||4|
|A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.|
|Machine Learning Tutorials||12,876||5 months ago||33||cc0-1.0|
|machine learning and deep learning tutorials, articles and other resources|
|Stanford Tensorflow Tutorials||10,248||2 years ago||88||mit||Python|
|This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.|
|Mit Deep Learning||9,328||7 months ago||15||mit||Jupyter Notebook|
|Tutorials, assignments, and competitions for MIT Deep Learning related courses.|
|Haystack||9,081||2||a day ago||29||July 06, 2022||354||apache-2.0||Python|
|:mag: Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, ChatGPT and alike). Haystack offers production-ready tools to quickly build complex question answering, semantic search, text generation applications, and more.|
|Computervision Recipes||8,950||4 months ago||65||mit||Jupyter Notebook|
|Best Practices, code samples, and documentation for Computer Vision.|
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Machine Learning Algorithms For Beginners with Code Examples in Python
Neural Networks from Scratch with Python Code and Math in Detail— I
Building Neural Networks with Python Code and Math in Detail — II
Natural Language Processing (NLP) with Python — Tutorial
Monte Carlo Simulation An In-depth Tutorial with Python
Survival Analysis with Python Tutorial — How, What, When, and Why
Moment Generating Function for Probability Distribution with Python
Bernoulli Distribution — Probability Tutorial with Python
Recommendation System Tutorial with Python using Collaborative Filtering
Linear Algebra for Deep Learning and Machine Learning (ML) Python Tutorial
Principal Component Analysis (PCA) with Python Examples — Tutorial
Decision Trees in Machine Learning (ML) with Python Tutorial
Convolutional Neural Networks (CNNs) Tutorial with Python
Sentiment Analysis (Opinion Mining) with Python - NLP Tutorial
Gradient Descent for Machine Learning (ML) 101 with Python Tutorial
Random Number Generator Tutorial with Python
Genetic Algorithm (GA) Introduction with Example Code
K-Nearest Neighbors (KNN) Algorithm Tutorial — Machine Learning Basics
What is a GPU? Are GPUs Needed for Deep Learning?
Descriptive Statistics for Data-driven Decision Making with Python
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