Alternatives and similar repositories for neograd

Users that are interested in neograd are comparing it to the libraries listed below

• eduardoleao052 / Autograd-from-scratch
  Documented and Unit Tested educational Deep Learning framework with Autograd from scratch.
  ☆117Updated last year
• FlorianDietz / comgra
  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…
  ☆287Updated 7 months ago
• nebuly-ai / exploring-AI-optimization
  Curated list of awesome material on optimization techniques to make artificial intelligence faster and more efficient 🚀
  ☆118Updated last year
• warner-benjamin / commented-transformers
  Highly commented implementations of Transformers in PyTorch
  ☆136Updated last year
• rasbt / faster-pytorch-blog
  Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy
  ☆128Updated 2 years ago
• jxtngx / lightning-lab
  deep learning with pytorch lightning
  ☆1Updated 8 months ago
• muellerzr / minimal-trainer-zoo
  Minimal example scripts of the Hugging Face Trainer, focused on staying under 150 lines
  ☆197Updated last year
• google / pyglove
  Manipulating Python Programs
  ☆668Updated this week
• sradc / SmallPebble
  Small deep learning library written from scratch in Python, using NumPy/CuPy.
  ☆124Updated 2 years ago
• HenryNdubuaku / nanodl
  A Jax-based library for building transformers, includes implementations of GPT, Gemma, LlaMa, Mixtral, Whisper, SWin, ViT and more.
  ☆290Updated 10 months ago
• TorchStudio / torchstudio
  IDE for PyTorch and its ecosystem
  ☆390Updated last year
• joey00072 / Tinytorch
  A really tiny autograd engine
  ☆94Updated last month
• explosion / curated-transformers
  🤖 A PyTorch library of curated Transformer models and their composable components
  ☆892Updated last year
• jxbz / agd
  Automatic gradient descent
  ☆208Updated 2 years ago
• neelindresh / pymlpipe
  ☆64Updated 2 years ago
• dpressel / mint
  MinT: Minimal Transformer Library and Tutorials
  ☆256Updated 2 years ago
• DerekChia / colab-vscode
  ✨ 1-Click Free GPU on VS Code with Google Colab
  ☆132Updated last year
• FasterAI-Labs / fasterai
  FasterAI: Prune and Distill your models with FastAI and PyTorch
  ☆249Updated last month
• gradsflow / gradsflow-automl
  An open-source AutoML Library based on PyTorch
  ☆307Updated last week
• Sentdex / Simple-kNN-Gzip
  A simplistic linear and multiprocessed approach to sentiment analysis using Gzip Normalized Compression Distances with k nearest neighbor…
  ☆143Updated last year
• google-deepmind / treescope
  An interactive HTML pretty-printer for machine learning research in IPython notebooks.
  ☆425Updated 2 months ago
• stas00 / ml-ways
  ML/DL Math and Method notes
  ☆61Updated last year
• facebookresearch / optimizers
  For optimization algorithm research and development.
  ☆521Updated this week
• NVIDIA-Merlin / dataloader
  The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX
  ☆420Updated last year
• jax-ml / ml_dtypes
  A stand-alone implementation of several NumPy dtype extensions used in machine learning.
  ☆280Updated this week
• mle-infrastructure / mle-monitor
  Lightweight Experiment & Resource Monitoring 📺
  ☆187Updated 2 years ago
• AakashKumarNain / TF_JAX_tutorials
  All about the fundamental blocks of TF and JAX!
  ☆275Updated 3 years ago
• idoh / mamba.np
  A pure NumPy implementation of Mamba.
  ☆224Updated last year
• AnswerDotAI / execnb
  Execute a jupyter notebook, fast, without needing jupyter
  ☆132Updated last week
• HMUNACHI / cuda-tutorials
  CUDA tutorials for Maths & ML tutorials with examples, covers multi-gpus, fused attention, winograd convolution, reinforcement learning.
  ☆185Updated last month