csyhhu Goto Github PK

leetcode

This is my solution for problems in leetcode

leetcodepratice

legr

CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"

littlesearchengine

Project Codes for NTU Course Information Retrieval

llama

Inference code for LLaMA models

matching-networks-pytorch

Matching Networks for one shot learning

mean-teacher

A state-of-the-art semi-supervised method for image recognition

megatron-lm

Ongoing research training transformer models at scale

meta-dataset

A dataset of datasets for learning to learn from few examples

metaquant

Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

ml_learningcode

mobilenet-v2_cifar10

a pytorch implement of mobileNet v2 on cifar10

models

Models and examples built with TensorFlow

pgm_class

Programming exercises for Stanford Probabilistic Graphical Models class

practical_rl

My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-cifar

95.16% on CIFAR10 with PyTorch

pytorch-cifar-models

3.41% and 17.11% error on CIFAR-10 and CIFAR-100

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-meta-optimizer

A PyTorch implementation of Learning to learn by gradient descent by gradient descent

pytorch-mobilenet-v2

A PyTorch implementation of MobileNet V2 architecture and pretrained model.

pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

pytorch-tensor-decompositions

PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.

pytorch-vgg-cifar10

This is the PyTorch implementation of VGG network trained on CIFAR10 dataset

readme

README文件语法解读，即Github Flavored Markdown语法介绍

resnet-18-caffemodel-on-imagenet

ResNet-18 Caffemodel @ilsvrc12 shrt 256 with Top-1 69% Top-5 89%

resnet-cifar10-caffe

ResNet 20 32 44 56 110 for CIFAR10 with caffe

resnext-densenet

PyTorch Implementation for ResNet, Pre-Activation ResNet, ResNeXt, DenseNet, and Group Normalisation

scarce-data

Setting and Evaluation Protocol of Scarce Data