arogozhnikov / einopsLinks
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
☆9,145Updated 3 weeks ago
Alternatives and similar repositories for einops
Users that are interested in einops are comparing it to the libraries listed below
Sorting:
- Model interpretability and understanding for PyTorch☆5,383Updated 2 weeks ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,134Updated last year
- FFCV: Fast Forward Computer Vision (and other ML workloads!)☆2,961Updated last year
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,779Updated last week
- Machine learning metrics for distributed, scalable PyTorch applications.☆2,328Updated this week
- 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (i…☆9,086Updated this week
- View model summaries in PyTorch!☆2,840Updated last week
- Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.☆30,045Updated this week
- Flax is a neural network library for JAX that is designed for flexibility.☆6,760Updated this week
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,689Updated last month
- A small package to create visualizations of PyTorch execution graphs☆3,418Updated 8 months ago
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,216Updated 2 weeks ago
- PyTorch extensions for high performance and large scale training.☆3,367Updated 4 months ago
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,284Updated last year
- PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡☆4,853Updated last year
- A concise but complete full-attention transformer with a set of promising experimental features from various papers☆5,548Updated 2 weeks ago
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,054Updated last year
- A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.☆2,788Updated 2 months ago
- 🐍 Geometric Computer Vision Library for Spatial AI☆10,711Updated last week
- An unofficial styleguide and best practices summary for PyTorch☆1,999Updated 3 years ago
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆35,140Updated 3 weeks ago
- Code for visualizing the loss landscape of neural nets☆3,056Updated 3 years ago
- 🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch☆2,157Updated 9 months ago
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,738Updated this week
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,966Updated 2 months ago
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆33,316Updated this week
- A scikit-learn compatible neural network library that wraps PyTorch☆6,110Updated 2 weeks ago
- A Python toolbox for performing gradient-free optimization☆4,112Updated 3 months ago
- A curated list of awesome self-supervised methods☆6,319Updated last year
- PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO☆7,135Updated last year