wangjunxiao Goto Github PK
Type: User
Company: Postdoctoral Fellow, KAUST
Location: Thuwal, Saudi Arabia
Blog: http://jxiao.wang/
Type: User
Company: Postdoctoral Fellow, KAUST
Location: Thuwal, Saudi Arabia
Blog: http://jxiao.wang/
Existing Literature about Machine Unlearning
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
ModelDiff: A Framework for Comparing Learning Algorithms
Modelverse: Content-Based Search for Deep Generative Models
Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]
Expanding natural instructions
sfctestbed: a OpenStack based sfc testbed platform
How to create an OS from scratch
Official Code for PACFL AAAI 2023
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Latex code for making neural networks diagrams
Prompt-aligned Gradient for Prompt Tuning
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.
Repository for the ACL2023 paper "Reasoning with Language Model Prompting: A Survey".
PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model
Must-read papers on prompt-based tuning for pre-trained language models.
Toolkit for creating, sharing and using natural language prompts.
An unofficial Python wrapper for OpenAI's ChatGPT API
Pytorch implementation of convolutional neural network visualization techniques
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Model summary in PyTorch similar to `model.summary()` in Keras
Some tricks of pytorch... :star:
PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability
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.