QikaiYang's Stars
zjc062/mind-vis
Code base for MinD-Vis
lucidrains/denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
datawhalechina/fun-rec
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
jiahaoli57/Call-for-Reviewers
This project aims to collect the latest "call for reviewers" links from various top CS/ML/AI conferences/journals
recommenders-team/recommenders
Best Practices on Recommendation Systems
ChenLiu-1996/CitationMap
A simple pip-installable Python tool to generate your own HTML citation world map from your Google Scholar ID.
lllindsey0615/ComposerX
KindXiaoming/pykan
Kolmogorov Arnold Networks
meta-llama/llama3
The official Meta Llama 3 GitHub site
GlassyWing/nvae
An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》
soumith/ganhacks
starter from "How to Train a GAN?" at NIPS2016
AntixK/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
chendaichao/VAE-pytorch
Pytorch implementation for VAE and conditional VAE.
swagger-api/swagger-codegen
swagger-codegen contains a template-driven engine to generate documentation, API clients and server stubs in different languages by parsing your OpenAPI / Swagger definition.
SimplifyJobs/New-Grad-Positions
A collection of full time roles in SWE, Quant, and PM for new grads.
gin-gonic/gin
Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.
Wheat2018/FunctionDrawerWheat
三维函数绘图器,依赖EasyX图形库。
jiayuan8/algorithms
Wheat2018/whanno_flutter
Collaborative data annotation tool
zygmuntz/goodbooks-10k
Ten thousand books, six million ratings
jiweibo/ImageNet
This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
yueyu1030/COSINE
[NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach'.
anishoswal/anishoswal.github.io
My personal website made with HTML, CSS and JavaScript
atomistic-machine-learning/SchNet
SchNet - a deep learning architecture for quantum chemistry
gasteigerjo/dimenet
DimeNet and DimeNet++ models, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020) and "Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules" (NeurIPS-W 2020)
JieyuZ2/Awesome-Weak-Supervision
A curated list of programmatic weak supervision papers and resources
risilab/cormorant
Codebase for Cormorant Neural Networks
weka511/bioinformatics
Code inspired by Bioinformatics Algorithms: an Active Learning Approach.
data61/PSL
Zhouzhiling/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06