Alternatives and similar repositories for MLP-Neural-Network-From-Scratch

Users that are interested in MLP-Neural-Network-From-Scratch are comparing it to the libraries listed below

• hithesh111 / Hith100
  My 100 Days of ML Code Challenge Repository. Note: I stopped updating in the blogger site. The days after 100 days are documented in anot…
  ☆110Updated 3 years ago
• mukeshmithrakumar / Book_List
  Python, Machine Learning, Deep Learning and Data Science Books
  ☆228Updated 5 years ago
• yacineMahdid / artificial-intelligence-and-machine-learning
  A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well …
  ☆184Updated 10 months ago
• MrinmoiHossain / Udacity-Deep-Learning-Nanodegree
  The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoen…
  ☆54Updated 3 years ago
• AntonioErdeljac / python-tensorflow-google
  Notes taken from Google Machine Learning Course provided to public for practice & correction.
  ☆204Updated 2 years ago
• JosephAssaker / Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning
  This project's aim, is to explore the world of Natural Language Processing (NLP) by building what is known as a Sentiment Analysis Model.…
  ☆103Updated 4 years ago
• mihail911 / fake-news
  Building a fake news detector from initial ideation to model deployment
  ☆157Updated 3 weeks ago
• Atcold / NYU-DLFL22
  NYU Deep Learning Fall 2022
  ☆63Updated last year
• JohnGiorgi / mathematics-for-machine-learning
  A set of notes, in the form of a simple Github Pages site, which will serve as a complete crash course on the various areas of mathematic…
  ☆63Updated 5 years ago
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆140Updated 6 years ago
• Emmanuel1118 / Learn-ML-Basics
  A collection of resources that should help and guide your first steps as you learn ML and DL. I am a beginner as well, and these are the …
  ☆90Updated 5 years ago
• benthecoder / ml-blogs-that-are-worth-reading
  Blogs on Machine Learning and Deep learning
  ☆114Updated 3 years ago
• sachin-101 / Machine-Learning-by-Andrew-Ng-Implementation-in-Python
  To help python programmers experiment and learn. All algorithms implemented from scratch in jupyter notebook.
  ☆118Updated 5 years ago
• jmugan / modern_practical_nlp
  This course covers how you can use NLP to do stuff.
  ☆268Updated 4 years ago
• hhaji / Deep-Learning
  Course: Deep Learning
  ☆194Updated last year
• mihail911 / e2eml-cookiecutter
  A generic template for building end-to-end machine learning projects
  ☆34Updated 4 years ago
• goodboychan / goodboychan.github.io
  jupyter blog
  ☆131Updated last year
• nicklashansen / rnn_lstm_from_scratch
  How to build RNNs and LSTMs from scratch with NumPy.
  ☆265Updated 4 years ago
• KaziAmitHasan / data-inspector
  Data Inspector is an open-source python library that brings 15++ types of different functions to make EDA, data cleaning easier.
  ☆39Updated 5 months ago
• parulnith / What-I-learnt-by-interviewing-numerous-Kaggle-Grandmasters
  ☆38Updated 3 years ago
• harunurrashid97 / 100-Days-Of-ML-Code
  A day to day plan for this challenge. Covers both theoritical and practical aspects
  ☆227Updated 2 years ago
• The-AI-Summer / learn-deep-learning
  AI Summer's complete catalog of articles
  ☆111Updated 3 years ago
• kaushil24 / DS-Cookbook101
  A jupyter notebook having all most frequent used code snippet for daily data scienceoperations
  ☆62Updated 5 years ago
• rohan-paul / Deep-Learning-Paper-Implementation
  From Scratch Implementation of some popular Deep Learning Papers with PyTorch and Tensorflow
  ☆18Updated 2 years ago
• jessicayung / machine-learning-flashcards
  Machine learning flashcards
  ☆221Updated 3 years ago
• dcavar / python-tutorial-notebooks
  Python tutorials as Jupyter Notebooks for NLP, ML, AI
  ☆149Updated this week
• luisdrita / HyperFoods
  It was built a web application as a step forward in building a 3D recommendation system.
  ☆66Updated 5 years ago
• sushant097 / Deep-Learning-Papers-Reading
  30 Days GANs Paper Reading
  ☆45Updated 2 years ago
• balavenkatesh3322 / Deep-learning-Notebook
  A collection of deep learning notebooks for learning and practicing.
  ☆18Updated 4 years 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