meta-pytorch / torchevalLinks
A library that contains a rich collection of performant PyTorch model metrics, a simple interface to create new metrics, a toolkit to facilitate metric computation in distributed training and tools for PyTorch model evaluations.
☆244Updated last week
Alternatives and similar repositories for torcheval
Users that are interested in torcheval are comparing it to the libraries listed below
Sorting:
- TorchFix - a linter for PyTorch-using code with autofix support☆152Updated 3 months ago
- Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory☆438Updated last year
- Configuration classes enabling type-safe PyTorch configuration for Hydra apps☆226Updated this week
- Named tensors with first-class dimensions for PyTorch☆332Updated 2 years ago
- A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop …☆192Updated 6 months ago
- Common Python utilities and GitHub Actions in Lightning Ecosystem☆62Updated last week
- TensorDict is a pytorch dedicated tensor container.☆992Updated last week
- Scalable and Performant Data Loading☆352Updated last week
- A library to inspect and extract intermediate layers of PyTorch models.☆475Updated 3 years ago
- Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch☆252Updated 3 years ago
- The spiritual successor to knockknock for PyTorch Lightning, get notified when your training ends☆77Updated last year
- Lightning HPO & Training Studio App☆19Updated 2 years ago
- Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"☆388Updated 2 years ago
- Pytorch Lightning Distributed Accelerators using Ray☆215Updated 2 years ago
- TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…☆407Updated this week
- Implementation of a Transformer, but completely in Triton☆277Updated 3 years ago
- Demystify RAM Usage in Multi-Process Data Loaders☆205Updated 2 years ago
- Speed up model training by fixing data loading.☆566Updated last week
- Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research…☆334Updated last week
- For optimization algorithm research and development.☆553Updated this week
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆162Updated 3 months ago
- ☆370Updated last month
- Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new…☆125Updated last year
- torch::deploy (multipy for non-torch uses) is a system that lets you get around the GIL problem by running multiple Python interpreters i…☆182Updated this week
- Implementation of fused cosine similarity attention in the same style as Flash Attention☆219Updated 2 years ago
- MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…☆404Updated this week
- Universal Notation for Tensor Operations in Python.☆453Updated 8 months ago
- Memory mapped numpy arrays of varying shapes☆307Updated last year
- An active learning library for Pytorch based on Lightning-Fabric.☆79Updated last year
- FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.☆210Updated 2 years ago