pranftw / neogradLinks
A deep learning framework created from scratch with Python and NumPy
☆238Updated 3 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.☆122Updated 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…☆298Updated last year
- A really tiny autograd engine☆97Updated 7 months ago
- Curated list of awesome material on optimization techniques to make artificial intelligence faster and more efficient 🚀☆119Updated 2 years ago
- Highly commented implementations of Transformers in PyTorch☆139Updated 2 years ago
- A Jax-based library for building transformers, includes implementations of GPT, Gemma, LlaMa, Mixtral, Whisper, SWin, ViT and more.☆297Updated last year
- MinT: Minimal Transformer Library and Tutorials☆260Updated 3 years ago
- ☆100Updated 3 weeks ago
- Small deep learning library written from scratch in Python, using NumPy/CuPy.☆125Updated 3 years ago
- A pure NumPy implementation of Mamba.☆222Updated last year
- Minimal example scripts of the Hugging Face Trainer, focused on staying under 150 lines☆196Updated last year
- Lightweight Experiment & Resource Monitoring 📺☆187Updated 2 years ago
- An open-source AutoML Library based on PyTorch☆308Updated 2 months ago
- Quadra: Effortless and reproducible deep learning workflows with configuration files.☆50Updated 3 weeks ago
- ☆144Updated 2 years ago
- Execute a jupyter notebook, fast, without needing jupyter☆137Updated last week
- Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy☆129Updated 2 years ago
- A declarative drawing API in Python☆298Updated last year
- A simplistic linear and multiprocessed approach to sentiment analysis using Gzip Normalized Compression Distances with k nearest neighbor…☆144Updated 2 years ago
- Notebooks for the "Deep Learning with JAX" book☆165Updated 6 months ago
- All about the fundamental blocks of TF and JAX!☆275Updated 4 years ago
- ☆64Updated 2 years ago
- NYU Artificial Intelligence Spring 2024☆61Updated last year
- Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.☆320Updated 4 months ago
- Automatic gradient descent☆215Updated 2 years ago
- CUDA tutorials for Maths & ML tutorials with examples, covers multi-gpus, fused attention, winograd convolution, reinforcement learning.☆207Updated 6 months ago
- GPU Development in Python 101 tutorial☆277Updated last year
- Install PyTorch distributions with computation backend auto-detection☆256Updated 2 weeks ago
- Notebooks for the Practicals at the Deep Learning Indaba 2022.☆178Updated last year
- This code repository contains the code used for my "Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorch" blog po…☆92Updated 2 years ago