CoinCheung

pytorch-loss

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

BiSeNet

Add bisenetv2. My implementation of BiSeNet

DeepLab-v3-plus-cityscapes

mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

triplet-reid-pytorch

My implementation of the paper [In Defense of the Triplet Loss for Person Re-Identification]

gdGPT

Train llm (bloom, llama, baichuan2-7b, chatglm3-6b) with deepspeed pipeline mode. Faster than zero/zero++/fsdp.

SphereReID

My implementation of paper: SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification

fixmatch-pytorch

90%+ with 40 labels. please see the readme for details.

Deeplab-Large-FOV

My Implementation of the deeplab_v1 (known as deeplab large fov)

MFM

code for paper "Masked Frequency Modeling for Self-Supervised Visual Pre-Training" (https://arxiv.org/pdf/2206.07706.pdf)

SFT-ReID

My implementation of Spectral-Feature-Transformation-ReID, link to the paper: https://arxiv.org/abs/1811.11405

DenseCL

DenseCL + regionCL-D

SelfSup

ssl method pretrain experiments and weights: mocov2 + fast-moco + regioncl + mixup + densecl

AutoAugment_opencv

autoaugment and randomaugment implemented with python opencv(cv2)

ImageNet-Loader

An imagenet dataloader implemented with opencv and pybind11 based on multi-threading

porn_identification

implement image processing with a combination of C and python3 based on socket communication

Segmentatron

My implementation of some segmentation algorithms

mixMatch

Pytorch reproduction of the experiment in the paper of MixMatch.

CAPTCHA_IND

Identify CAPTCHA basing on CNN implemented by mxnet

GAN-mxnet

GAN implemented with mxnet

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

BPNeuralNetwork

A BP network implemented with C++

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

eewee

image-dedup

Codebase I use for deduplication of image datasets

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

JnOS

try to write an easy OS of my own

Mossaic-Handling

A program that can find the sensitive areas in a picture and add Mossaic to these areas automatically

QT2048

a 2048 small game writen by python and c