kennysong / minigradLinks
A minimal implementation of autograd (in pure Python) π°
β95Updated 3 years ago
Alternatives and similar repositories for minigrad
Users that are interested in minigrad are comparing it to the libraries listed below
Sorting:
- Tricks for Colab power usersβ168Updated 5 years ago
- Python implementation of GLN in different frameworksβ97Updated 4 years ago
- β108Updated 2 years ago
- Official code for the Stochastic Polyak step-size optimizerβ139Updated last year
- Celular automaton-based calculus for the massesβ112Updated 5 years ago
- Docsβ144Updated 8 months ago
- Understanding ML and deep learning through geometryβ157Updated 3 years ago
- Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.β177Updated 3 years ago
- The most parameter efficient machine learning models on a few popular benchmarksβ42Updated 3 years ago
- Framework-agnostic library for checking array/tensor shapes at runtime.β46Updated 4 years ago
- Functional machine learning for funβ85Updated 4 years ago
- β153Updated 5 years ago
- Loss Patterns of Neural Networksβ85Updated 3 years ago
- β68Updated last year
- A demonstration of the attention mechanism with some toy experiments and explanations.β108Updated 6 years ago
- Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)β368Updated 6 months ago
- π© Pytorch and Jax code for the Madam optimiser.β51Updated 4 years ago
- Module 0 - Fundamentalsβ105Updated 11 months ago
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"β181Updated 4 years ago
- TorchΓ©lie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.β110Updated 7 months ago
- A cleaner way to build neural networks for PyTorch.β184Updated 5 years ago
- The "tl;dr" on a few notable transformer papers (pre-2022).β190Updated 2 years ago
- Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containersβ219Updated last year
- β39Updated 2 years ago
- β28Updated 6 years ago
- Source code, datasets and trained models for the paper Learning Advanced Mathematical Computations from Examples (ICLR 2021), by FranΓ§oisβ¦β181Updated 3 years ago
- Experiment orchestrationβ103Updated 5 years ago
- Search for scientific papers on the command lineβ106Updated 2 weeks ago
- Course webpage for COMP 790, (Deep) Learning from Limited Labeled Dataβ304Updated 4 years ago
- AI/ML citation graph with postgres + graphqlβ188Updated 5 years ago