ahmedbesbes / Neural-Network-from-scratchLinks
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
☆264Updated 6 years ago
Alternatives and similar repositories for Neural-Network-from-scratch
Users that are interested in Neural-Network-from-scratch are comparing it to the libraries listed below
Sorting:
- Notes taken from Google Machine Learning Course provided to public for practice & correction.☆203Updated 2 years ago
- A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.☆566Updated 2 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆275Updated 7 years ago
- Data science teaching materials☆150Updated 6 months ago
- Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera☆137Updated 6 years ago
- This is the notebook associated with the blog post:☆90Updated 5 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 6 years ago
- Machine learning algorithms☆113Updated 6 years ago
- Contains my explorations of TensorFlow 2.x☆382Updated 3 years ago
- Jupyter Notebooks with Deep Learning Tutorials☆204Updated 6 years ago
- live coding deep learning library☆328Updated 5 years ago
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆537Updated 6 years ago
- How to build RNNs and LSTMs from scratch with NumPy.☆264Updated 4 years ago
- Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms…☆432Updated 3 years ago
- Curated lists of fastai resources: blog posts, twitter threads etc.☆145Updated 5 years ago
- A collection of PyTorch notebooks for learning and practicing deep learning☆139Updated 5 years ago
- Tutorial for International Summer School on Deep Learning, 2019☆317Updated 3 years ago
- Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow☆352Updated 4 years ago
- Material for the tutorial: "Deep Diving into GANs: from theory to production"☆208Updated 2 years ago
- Genetic algorithm packages for optimization in Python.☆80Updated 6 years ago
- Lending Club Loan data analysis☆45Updated 6 years ago
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆492Updated 6 years ago
- Lectures for INFO8006 Introduction to Artificial Intelligence, ULiège☆397Updated 3 months ago
- This is the code for "Time Series Prediction" By Siraj Raval on Youtube☆193Updated 6 years ago
- Machine learning notebooks in different subjects optimized to run in google collaboratory☆372Updated 5 years ago
- Basics of programming: algorithms, data structures, object oriented programming☆93Updated 7 years ago
- A step-by-step guide to get started with Applied Machine Learning☆140Updated 6 years ago
- scratchai is a Deep Learning library that aims to store all Deep Learning algorithms. With easy calls to do all the common tasks in AI.☆96Updated last year
- Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library☆596Updated 5 years ago
- Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book☆300Updated 5 years ago