OATML / RHO-LossLinks
☆210Updated 3 years ago
Alternatives and similar repositories for RHO-Loss
Users that are interested in RHO-Loss are comparing it to the libraries listed below
Sorting:
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆152Updated 2 years ago
- FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.☆210Updated 2 years ago
- Train ImageNet *fast* in 500 lines of code with FFCV☆149Updated last year
- Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena☆207Updated 2 years ago
- Replicating and dissecting the git-re-basin project in one-click-replication Colabs☆36Updated 3 years ago
- Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization☆344Updated last year
- Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)☆237Updated 3 years ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆81Updated 2 years ago
- Simple and efficient RevNet-Library for PyTorch with XLA and DeepSpeed support and parameter offload☆131Updated 3 years ago
- ☆75Updated 3 years ago
- Git Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch☆78Updated 2 years ago
- PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)☆144Updated 3 years ago
- ☆164Updated 2 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago
- ☆139Updated 2 years ago
- gpu tester detects broken and slow gpus in a cluster☆72Updated 2 years ago
- A fast, effective data attribution method for neural networks in PyTorch☆222Updated last year
- ☆96Updated 3 years ago
- A Domain-Agnostic Benchmark for Self-Supervised Learning☆108Updated 2 years ago
- Sequence modeling with Mega.☆301Updated 2 years ago
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆101Updated 2 years ago
- Python library for argument and configuration management☆56Updated 2 years ago
- A centralized place for deep thinking code and experiments☆87Updated 2 years ago
- Code release for "Dropout Reduces Underfitting"☆317Updated 2 years ago
- Implementation of Discrete Key / Value Bottleneck, in Pytorch☆88Updated 2 years ago
- A library to create and manage configuration files, especially for machine learning projects.☆79Updated 3 years ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆51Updated last year
- Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch☆252Updated 3 years ago
- Unofficial JAX implementations of deep learning research papers☆159Updated 3 years ago
- Create animations for the optimization trajectory of neural nets☆161Updated last year