google-parfait / dataset_grouper
Libraries for efficient and scalable group-structured dataset pipelines.
☆23Updated last month
Related projects ⓘ
Alternatives and complementary repositories for dataset_grouper
- Repo to reproduce results for Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning☆25Updated last year
- Repo for the paper: PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees (CVPR 2024)☆13Updated 3 months ago
- Code for "Practical Low-Rank Communication Compression in Decentralized Deep Learning"☆15Updated 4 years ago
- Recycling diverse models☆44Updated last year
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆79Updated last year
- ☆36Updated 2 years ago
- Federated posterior averaging implemented in JAX☆49Updated last year
- Compression primitives for uplink compression in Federated Learning that are compatible with Secure Aggregation.☆9Updated 2 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆53Updated last year
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 2 years ago
- Model Fusion via Optimal Transport, NeurIPS 2020☆135Updated 2 years ago
- ☆17Updated 2 years ago
- ☆19Updated last year
- Code associated with the paper **Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees**.☆26Updated last year
- Spartan is an algorithm for training sparse neural network models. This repository accompanies the paper "Spartan Differentiable Sparsity…☆24Updated 2 years ago
- [NeurIPS‘2021] "MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge", Geng Yuan, Xiaolong Ma, Yanzhi Wang et al…☆18Updated 2 years ago
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆34Updated last year
- ☆16Updated last year
- ☆12Updated 2 years ago
- Latest Weight Averaging (NeurIPS HITY 2022)☆20Updated last year
- AN EFFICIENT AND GENERAL FRAMEWORK FOR LAYERWISE-ADAPTIVE GRADIENT COMPRESSION☆13Updated last year
- Code for paper: "Privately generating tabular data using language models".☆14Updated last year
- Data for "Datamodels: Predicting Predictions with Training Data"☆91Updated last year
- ☆39Updated 10 months ago
- Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients☆29Updated 2 years ago
- Computationally friendly hyper-parameter search with DP-SGD☆22Updated 2 years ago
- Federated Learning with Partial Model Personalization☆42Updated 2 years ago
- Host CIFAR-10.2 Data Set☆13Updated 3 years ago
- [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…☆15Updated 5 months ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆45Updated 9 months ago