Pinned Repositories
alphalens
Performance analysis of predictive (alpha) stock factors
attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
conformer
Implementation of the convolutional module from the Conformer paper, for use in Transformers
DonorsChoose
kaggle competition, help DonorsChoose.org to screen funding proposals from teachers
G2Net_GoGoGo
G2Net Competition
Jigsaw-Rate-Severity-of-Toxic-Comments
Kaggle_ecommerce
A project working on an e-commerce dataset downloaded from Kaggle
leetcode
Lending-Club-predicting-loan-defaults
Lottery-Ticket-Hypothesis-in-Pytorch
This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.
richardxing's Repositories
richardxing/G2Net_GoGoGo
G2Net Competition
richardxing/alphalens
Performance analysis of predictive (alpha) stock factors
richardxing/attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
richardxing/conformer
Implementation of the convolutional module from the Conformer paper, for use in Transformers
richardxing/DonorsChoose
kaggle competition, help DonorsChoose.org to screen funding proposals from teachers
richardxing/Jigsaw-Rate-Severity-of-Toxic-Comments
richardxing/Kaggle_ecommerce
A project working on an e-commerce dataset downloaded from Kaggle
richardxing/leetcode
richardxing/Lending-Club-predicting-loan-defaults
richardxing/Lottery-Ticket-Hypothesis-in-Pytorch
This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.
richardxing/Million-Song-Project
richardxing/Movie_Recommender
recommend movie with Spark
richardxing/notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
richardxing/optuna-examples
Examples for https://github.com/optuna/optuna
richardxing/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
richardxing/pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
richardxing/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
richardxing/resnet1d
PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.
richardxing/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
richardxing/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
richardxing/xla
Enabling PyTorch on Google TPU