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Name: Kailang Ma
Type: User
Bio: BUAA CSTer
Name: Kailang Ma
Type: User
Bio: BUAA CSTer
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Replication Package for "Natural Attack for Pre-trained Models of Code", ICSE 2022
A curated list of security-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to provide researchers, practitioners, and enthusiasts with insights into the security implications, challenges, and advancements surrounding these powerful models.
Code for "On the Role of Pre-trained Language Models in Word Ordering: A Case Study with BART, COLING 2022"
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
End-to-End Object Detection with Transformers
Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)
T. Shapira and Y. Shavitt, "FlowPic: A Generic Representation for Encrypted Traffic Classification and Applications Identification," in IEEE Transactions on Network and Service Management, doi: 10.1109/TNSM.2021.3071441.
GI-PIP
[ICCV-2023] Gradient inversion attack, Federated learning, Generative adversarial network.
Code for the paper "Language Models are Unsupervised Multitask Learners"
Instance-wise Batch Label Restoration via Gradients In Federated Learning (ICLR 2023)
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
A Keras implementation of YOLOv3 (Tensorflow backend)
LAMP: Extracting Text from Gradients with Language Model Priors (NeurIPS '22)
⚡ Building applications with LLMs through composability ⚡
Papers and resources related to the security and privacy of LLMs 🤖
Malware detection using CNN
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Implementation of the SRATTA paper
Table with many features for Streamlit. This component use Bootstrap and FontAwesome.
Using shadcn-ui components in streamlit
No-code in the front, Python in the back. An open-source framework for creating data apps.
Subspace Deep Image Prior, optimizing on a parameter subspace extracted from pretraining
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
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.