microsoft / DGTLinks
Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent
☆16Updated 3 years ago
Alternatives and similar repositories for DGT
Users that are interested in DGT are comparing it to the libraries listed below
Sorting:
- A Learnable LSH Framework for Efficient NN Training☆33Updated 4 years ago
- Using FlexAttention to compute attention with different masking patterns☆47Updated last year
- Blog post☆17Updated last year
- ☆16Updated last year
- Sparsity support for PyTorch☆37Updated 7 months ago
- FlexAttention w/ FlashAttention3 Support☆27Updated last year
- Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.☆45Updated last year
- ☆11Updated 2 years ago
- Source-to-Source Debuggable Derivatives in Pure Python☆15Updated last year
- Code for testing DCT plus Sparse (DCTpS) networks☆14Updated 4 years ago
- Pytorch library for factorized L0-based pruning.☆45Updated 2 years ago
- ☆41Updated last year
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆43Updated 6 years ago
- Code for the paper: https://arxiv.org/pdf/2309.06979.pdf☆21Updated last year
- ☆33Updated last year
- Experiment of using Tangent to autodiff triton☆80Updated last year
- ☆26Updated 2 years ago
- ☆20Updated last year
- Parallel Associative Scan for Language Models☆17Updated last year
- Factorized Neural Layers☆30Updated 2 years ago
- [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling☆39Updated last year
- Triton Implementation of HyperAttention Algorithm☆48Updated last year
- ☆28Updated 9 months ago
- ☆52Updated last year
- JAX implementation of "Fine-Tuning Language Models with Just Forward Passes"☆19Updated 2 years ago
- Butterfly matrix multiplication in PyTorch☆174Updated 2 years ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆63Updated 4 years ago
- Make triton easier☆48Updated last year
- [NeurIPS 2022] DataMUX: Data Multiplexing for Neural Networks☆60Updated 2 years ago
- A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently☆51Updated last year