Pinned Repositories
CameraCalibration
A Repository detailing camera calibration
check
curriculum-learning-for-deep-learning
Curriculum Learning - Tensorflow
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
DeepSpeedExamples
Example models using DeepSpeed
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Megatron-DeepSpeed
Ongoing research training transformer language models at scale, including: BERT & GPT-2
mixup-cifar10
mixup: Beyond Empirical Risk Minimization
mmcv
OpenMMLab Computer Vision Foundation
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
xwuShirley's Repositories
xwuShirley/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
xwuShirley/CameraCalibration
A Repository detailing camera calibration
xwuShirley/check
xwuShirley/curriculum-learning-for-deep-learning
Curriculum Learning - Tensorflow
xwuShirley/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
xwuShirley/DeepSpeedExamples
Example models using DeepSpeed
xwuShirley/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
xwuShirley/Megatron-DeepSpeed
Ongoing research training transformer language models at scale, including: BERT & GPT-2
xwuShirley/mixup-cifar10
mixup: Beyond Empirical Risk Minimization
xwuShirley/mmcv
OpenMMLab Computer Vision Foundation
xwuShirley/mmdetection
OpenMMLab Detection Toolbox and Benchmark
xwuShirley/NIID-Bench
Federated Learning on Non-IID Data Silos: An Experimental Study
xwuShirley/pytorch-cifar
95.16% on CIFAR10 with PyTorch
xwuShirley/pytorch-cifar-models
3.41% and 17.11% error on CIFAR-10 and CIFAR-100
xwuShirley/pytorch-classification
Classification with PyTorch.
xwuShirley/PyTorch-Deep-Compression
A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)
xwuShirley/pytorch-nips2017-attack-example
A PyTorch baseline attack example for the NIPS 2017 adversarial competition
xwuShirley/rethinking-network-pruning
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
xwuShirley/Switchable-Normalization
xwuShirley/T-Fixup
Code for the ICML'20 paper "Improving Transformer Optimization Through Better Initialization"
xwuShirley/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
xwuShirley/understanding-curricula
xwuShirley/understanding-transfer-learning
xwuShirley/v97
Proceedings of ICML 2019
xwuShirley/wait
xwuShirley/weight_norm
Weight Normalization in Pytorch
xwuShirley/wide-residual-networks
3.8% and 18.3% on CIFAR-10 and CIFAR-100
xwuShirley/xla
Enabling PyTorch on Google TPU
xwuShirley/xwuShirley.github.io