hjmshi's Stars
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
kelseyhightower/nocode
The best way to write secure and reliable applications. Write nothing; deploy nowhere.
microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
facebookresearch/dlrm
An implementation of a deep learning recommendation model (DLRM)
cornellius-gp/gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch
hjmshi/PyTorch-LBFGS
A PyTorch implementation of L-BFGS.
mlcommons/algorithmic-efficiency
MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.
keskarnitish/large-batch-training
Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"
yaroslavvb/kfac_pytorch
pdfo/pdfo
Powell's Derivative-Free Optimization solvers.
LaTeXing/LaTeXing
LaTeXing - Professional Typesetting - An extension for Sublime Text which makes your life easier and more comfortable while creating your documents.
moskomule/shampoo.pytorch
An implementation of shampoo
PythonOptimizers/NLP.py
A Python environment for large-scale optimization.
jfowkes/pycutest
Python interface to CUTEst
kenjydem/CUTEST.py