machine.academy
deepnet
machine.academy | deepnet | |
---|---|---|
1 | 1 | |
11 | 319 | |
- | - | |
7.6 | 0.0 | |
5 months ago | almost 2 years ago | |
C# | Python | |
GNU General Public License v3.0 only | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
machine.academy
-
Neural Network from Scratch
Nice! I made a gpu accelerated backpropagation lib a while ago to learn about NNs, if you are interested check it out here: https://github.com/zbendefy/machine.academy
deepnet
-
Neural Network from Scratch
For those interested in simple neural networks to CNN and RNNs implemented with just Numpy (including backprop):
https://github.com/parasdahal/deepnet
What are some alternatives?
ML-From-Scratch - Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
micrograd - A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
GazeTracker - Artificial intelligence tracker for OpenTrack
NNfSiX - Neural Networks from Scratch in various programming languages
Numerical-Realization - An English-based natural language generator for numerical inputs.
RAdam - On the Variance of the Adaptive Learning Rate and Beyond
SoftGround - High performance runtime collider deformation in Unity
MachineLearning - From linear regression towards neural networks...
Numerical-Realization - An English-based natural language generator for numerical inputs.
deeplearning-notes - Notes for Deep Learning Specialization Courses led by Andrew Ng.