pranftw / neogradLinks
A deep learning framework created from scratch with Python and NumPy
☆237Updated 2 years ago
Alternatives and similar repositories for neograd
Users that are interested in neograd are comparing it to the libraries listed below
Sorting:
- Documented and Unit Tested educational Deep Learning framework with Autograd from scratch.☆115Updated last year
- Minimal example scripts of the Hugging Face Trainer, focused on staying under 150 lines☆197Updated last year
- Highly commented implementations of Transformers in PyTorch☆136Updated last year
- deep learning with pytorch lightning☆1Updated 7 months ago
- 🤖 A PyTorch library of curated Transformer models and their composable components☆891Updated last year
- A tool to analyze and debug neural networks in pytorch. Use a GUI to traverse the computation graph and view the data from many different…☆288Updated 6 months ago
- Recreating PyTorch from scratch (C/C++, CUDA, NCCL and Python, with multi-GPU support and automatic differentiation!)☆150Updated last year
- ML/DL Math and Method notes☆61Updated last year
- MinT: Minimal Transformer Library and Tutorials☆255Updated 2 years ago
- Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy☆128Updated 2 years ago
- Small deep learning library written from scratch in Python, using NumPy/CuPy.☆124Updated 2 years ago
- Notebooks for the "Deep Learning with JAX" book☆149Updated 2 weeks ago
- The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX☆419Updated last year
- For optimization algorithm research and development.☆521Updated this week
- Install PyTorch distributions with computation backend auto-detection☆253Updated last month
- An open collection of implementation tips, tricks and resources for training large language models☆475Updated 2 years ago
- All about the fundamental blocks of TF and JAX!☆275Updated 3 years ago
- ☆165Updated last year
- An implementation of the transformer architecture onto an Nvidia CUDA kernel☆185Updated last year
- Simple MPI implementation for prototyping or learning☆235Updated 2 weeks ago
- Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024☆242Updated last year
- A really tiny autograd engine☆94Updated 3 weeks ago
- CUDA tutorials for Maths & ML tutorials with examples, covers multi-gpus, fused attention, winograd convolution, reinforcement learning.☆182Updated last week
- Memory mapped numpy arrays of varying shapes☆298Updated last year
- An interactive exploration of Transformer programming.☆264Updated last year
- ☆600Updated last year
- Simple Byte pair Encoding mechanism used for tokenization process . written purely in C☆134Updated 7 months ago
- Dynamic Neural Networks and Function Transformations in Python + Mojo☆252Updated this week
- ☆133Updated last year
- Collection of useful machine learning codes and snippets (originally intended for my personal use)☆817Updated last year