asappresearch / flop
Pytorch library for factorized L0-based pruning.
☆44Updated last year
Alternatives and similar repositories for flop:
Users that are interested in flop are comparing it to the libraries listed below
- Parameter Efficient Transfer Learning with Diff Pruning☆73Updated 4 years ago
- [NeurIPS 2020] "The Lottery Ticket Hypothesis for Pre-trained BERT Networks", Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Ya…☆140Updated 3 years ago
- This package implements THOR: Transformer with Stochastic Experts.☆62Updated 3 years ago
- Block Sparse movement pruning☆78Updated 4 years ago
- ☆15Updated 3 years ago
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆74Updated last year
- The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".☆33Updated 3 years ago
- ☆33Updated 3 years ago
- No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models (ICLR 2022)☆30Updated 3 years ago
- Code for "Training Neural Networks with Fixed Sparse Masks" (NeurIPS 2021).☆58Updated 3 years ago
- Code for the paper "BERT Loses Patience: Fast and Robust Inference with Early Exit".☆65Updated 3 years ago
- This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).☆43Updated 2 years ago
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆67Updated 2 years ago
- Method to improve inference time for BERT. This is an implementation of the paper titled "PoWER-BERT: Accelerating BERT Inference via Pro…☆61Updated last year
- STABILIZING GRADIENTS FOR DEEP NEURAL NETWORKS VIA EFFICIENT SVD PARAMETERIZATION☆16Updated 6 years ago
- [ACL-IJCNLP 2021] "EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets" by Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, …☆18Updated 3 years ago
- Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"☆56Updated 2 years ago
- Pytorch implementation of paper "Efficient Nearest Neighbor Language Models" (EMNLP 2021)☆72Updated 3 years ago
- ☆30Updated last year
- Code for EMNLP 2020 paper CoDIR☆41Updated 2 years ago
- Sparse Backpropagation for Mixture-of-Expert Training☆28Updated 8 months ago
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆60Updated 2 years ago
- ☆17Updated 4 years ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆79Updated last year
- MLPruning, PyTorch, NLP, BERT, Structured Pruning☆21Updated 3 years ago
- [ICLR 2022] Code for paper "Exploring Extreme Parameter Compression for Pre-trained Language Models"(https://arxiv.org/abs/2205.10036)☆22Updated last year
- [NeurIPS'23] Speculative Decoding with Big Little Decoder☆89Updated last year
- DEMix Layers for Modular Language Modeling☆53Updated 3 years ago
- ☆19Updated last year
- [KDD'22] Learned Token Pruning for Transformers☆96Updated 2 years ago