lxuechen / ml-swissknife
An ML research codebase built with friends :)
☆22Updated 6 months ago
Alternatives and similar repositories for ml-swissknife:
Users that are interested in ml-swissknife are comparing it to the libraries listed below
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆58Updated last year
- PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023☆20Updated last year
- Code for "Training Neural Networks with Fixed Sparse Masks" (NeurIPS 2021).☆58Updated 3 years ago
- SGD with large step sizes learns sparse features [ICML 2023]☆32Updated last year
- Blog post☆17Updated last year
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆35Updated 2 years ago
- Latest Weight Averaging (NeurIPS HITY 2022)☆28Updated last year
- Data for "Datamodels: Predicting Predictions with Training Data"☆95Updated last year
- ModelDiff: A Framework for Comparing Learning Algorithms☆55Updated last year
- ☆18Updated 2 years ago
- ☆17Updated 2 years ago
- ☆28Updated last year
- ☆22Updated 3 years ago
- A centralized place for deep thinking code and experiments☆82Updated last year
- ☆39Updated 2 years ago
- ☆12Updated 11 months ago
- Implementation of Influence Function approximations for differently sized ML models, using PyTorch☆15Updated last year
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆74Updated last year
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆79Updated last year
- Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"☆21Updated last year
- Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"☆21Updated 6 months ago
- A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.☆62Updated 7 months ago
- ☆24Updated this week
- ☆49Updated 4 years ago
- Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"☆15Updated 2 years ago
- Distilling Model Failures as Directions in Latent Space☆46Updated 2 years ago
- [ICML'21 Oral] Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding☆14Updated 3 years ago
- ☆54Updated 4 years ago