goktug97 / minigrad
Autograd Engine for Python Written in Python C-API for Speed
☆20Updated last year
Related projects ⓘ
Alternatives and complementary repositories for minigrad
- Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.☆45Updated 3 years ago
- ☆38Updated last year
- ☆18Updated 2 years ago
- A tiny Catalyst-like experiment runner framework on top of micrograd.☆52Updated 3 years ago
- Machine Learning library written in Python and NumPy.☆27Updated last year
- A minimal implementation of autograd (in pure Python) 🍰☆93Updated 3 years ago
- An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches☆43Updated 2 years ago
- Celular automaton-based calculus for the masses☆110Updated 4 years ago
- This repository hosts code for converting the original Vision Transformer models (JAX) to TensorFlow.☆34Updated 2 years ago
- This project presents a simple framework to retrieve images similar to a query image.☆26Updated 3 years ago
- Reinforcement learning in TensorFlow 2☆22Updated 2 years ago
- A modular Reinforcement Learning library for research☆11Updated 4 years ago
- High Performance Tensorflow Data Pipeline with State of Art Augmentations and low level optimizations.☆86Updated 2 years ago
- ☆12Updated 4 years ago
- Our solution of the Kaggle Abstraction and Reasoning Challenge☆22Updated 4 years ago
- A queue service for quickly developing scripts that use all your GPUs efficiently☆82Updated 2 years ago
- A Numpy implementation of a Generative Adversarial Network.☆17Updated 4 years ago
- Aloception is a set of package for computer vision: aloscene, alodataset, alonet.☆92Updated 11 months ago
- My solution for Kaggle Abstraction and Reasoning Challenge☆21Updated 2 years ago
- A Pytorch Deep Dream Implementation☆88Updated 4 years ago
- Neural Network to predict face touch on live feed and warn you, "don't touch the face".☆24Updated last year
- How to use the Flax Linen API to build a convolutional neural network model and train it for image classification (using TensorFlow Datas…☆24Updated last year
- A tutorial example for nbdev☆15Updated 2 years ago
- A PyTorch based DeepRL framework to train and study artificial species in bio-inspired environments.☆72Updated last year
- A simple wrapper over `pydot` and `graphviz` which fixes some sharp edges☆63Updated 2 years ago
- Fastai community entry to 2020 Reproducibility Challenge☆17Updated 2 years ago
- An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data☆37Updated 3 years ago
- Minimal deep learning library written from scratch in Python, using NumPy/CuPy.☆121Updated 2 years ago
- A minimalist neural networks library built on a tiny autograd engine☆17Updated 5 months ago
- Create interactive dashboards for your Convolutional Neural Networks with a single line of code!☆31Updated 3 years ago