evanbernard / MiniNeuralNets
A framework for mini neural networks (perceptrons), written from scratch in python. The goal of the project is to demystify the workings of a neural network and various training algorithms by providing code written from scratch for the simplest neural network one could have.
☆21Updated 4 years ago
Alternatives and similar repositories for MiniNeuralNets:
Users that are interested in MiniNeuralNets are comparing it to the libraries listed below
- Create interactive dashboards for your Convolutional Neural Networks with a single line of code!☆31Updated 4 years ago
- A Numpy implementation of a Generative Adversarial Network.☆17Updated 4 years ago
- The "tl;dr" on a few notable transformer papers (pre-2022).☆190Updated 2 years ago
- Autograd Engine for Python Written in Python C-API for Speed☆20Updated last year
- A minimal implementation of autograd (in pure Python) 🍰☆95Updated 3 years ago
- A minimal autograd engine and neural network library for machine learning students.☆26Updated 2 years ago
- ☆39Updated 2 years ago
- a mini Deep Learning framework supporting GPU accelerations written with CUDA☆32Updated 4 years ago
- Paper reading list☆16Updated 4 years ago
- A Pytorch Deep Dream Implementation☆88Updated 4 years ago
- SKIP for AI☆21Updated 5 years ago
- JAX implementation ViT-VQGAN☆56Updated 2 years ago
- Lite Inference Toolkit (LIT) for PyTorch☆161Updated 3 years ago
- ☆18Updated 3 years ago
- Toy implementations of some popular ML optimizers using Python/JAX☆44Updated 3 years ago
- ☆30Updated 4 years ago
- A tiny Catalyst-like experiment runner framework on top of micrograd.☆51Updated 4 years ago
- Deep Q-learning for playing chrome dino game☆71Updated 3 years ago
- a writeup on some experiments on a sequence model for chess games☆30Updated 3 years ago
- Yaae: Yet another autodiff engine (written in Numpy).☆27Updated last year
- PyTorch model training and layer saturation monitor☆81Updated 2 years ago
- A lightweight/pretty visualizer for recent work on a git code base in multiple branches. Helps stay up to date with teams working on one …☆97Updated 5 years ago
- An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches☆43Updated 3 years ago
- My experiments and progress within various fastai applications☆56Updated 5 years ago
- This repository hosts code for converting the original Vision Transformer models (JAX) to TensorFlow.☆33Updated 3 years ago
- Docs☆143Updated 5 months ago
- A PyTorch based DeepRL framework to train and study artificial species in bio-inspired environments.☆72Updated last year
- Tricks for Colab power users☆170Updated 5 years ago
- a simple implementation of autograd engine☆23Updated 6 years ago
- ☆42Updated 4 years ago