coincheung Goto Github PK
Name: CoinCheung
Type: User
Name: CoinCheung
Type: User
autoaugment and randomaugment implemented with python opencv(cv2)
Add bisenetv2. My implementation of BiSeNet
A BP network implemented with C++
Identify CAPTCHA basing on CNN implemented by mxnet
My Implementation of the deeplab_v1 (known as deeplab large fov)
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).
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
DenseCL + regionCL-D
90%+ with 40 labels. please see the readme for details.
GAN implemented with mxnet
Train llm (bloom, llama, baichuan2-7b, chatglm3-6b) with deepspeed pipeline mode. Faster than zero/zero++/fsdp.
Codebase I use for deduplication of image datasets
An imagenet dataloader implemented with opencv and pybind11 based on multi-threading
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
try to write an easy OS of my own
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
code for paper "Masked Frequency Modeling for Self-Supervised Visual Pre-Training" (https://arxiv.org/pdf/2206.07706.pdf)
Pytorch reproduction of the experiment in the paper of MixMatch.
A program that can find the sensitive areas in a picture and add Mossaic to these areas automatically
implement image processing with a combination of C and python3 based on socket communication
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
a 2048 small game writen by python and c
My implementation of some segmentation algorithms
ssl method pretrain experiments and weights: mocov2 + fast-moco + regioncl + mixup + densecl
My implementation of Spectral-Feature-Transformation-ReID, link to the paper: https://arxiv.org/abs/1811.11405
My implementation of paper: SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification
My implementation of the paper [In Defense of the Triplet Loss for Person Re-Identification]
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.