Pinned Repositories
annotated_deep_learning_paper_implementations
🧑🏫 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, ... 🧠
attack-pretrain-models-of-code
Replication Package for "Natural Attack for Pre-trained Models of Code", ICSE 2022
Awesome-LLM-Safety
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.
BART-word-orderer
Code for "On the Role of Pre-trained Language Models in Word Ordering: A Case Study with BART, COLING 2022"
CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
COLD_decoding
GIFD
[ICCV-2023] Gradient inversion attack, Federated learning, Generative adversarial network.
iLRG
Instance-wise Batch Label Restoration via Gradients In Federated Learning (ICLR 2023)
lamp
LAMP: Extracting Text from Gradients with Language Model Priors (NeurIPS '22)
streamsync
No-code in the front, Python in the back. An open-source framework for creating data apps.
mankasto's Repositories
mankasto/iLRG
Instance-wise Batch Label Restoration via Gradients In Federated Learning (ICLR 2023)
mankasto/GIFD
[ICCV-2023] Gradient inversion attack, Federated learning, Generative adversarial network.
mankasto/lamp
LAMP: Extracting Text from Gradients with Language Model Priors (NeurIPS '22)
mankasto/streamsync
No-code in the front, Python in the back. An open-source framework for creating data apps.
mankasto/annotated_deep_learning_paper_implementations
🧑🏫 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, ... 🧠
mankasto/attack-pretrain-models-of-code
Replication Package for "Natural Attack for Pre-trained Models of Code", ICSE 2022
mankasto/Awesome-LLM-Safety
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.
mankasto/BART-word-orderer
Code for "On the Role of Pre-trained Language Models in Word Ordering: A Case Study with BART, COLING 2022"
mankasto/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
mankasto/COLD_decoding
mankasto/FILM
Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)
mankasto/GI-PIP
GI-PIP
mankasto/keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
mankasto/langchain
⚡ Building applications with LLMs through composability ⚡
mankasto/DALLE2-pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
mankasto/detr
End-to-End Object Detection with Transformers
mankasto/gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
mankasto/imagen-pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
mankasto/llm-sp
Papers and resources related to the security and privacy of LLMs 🤖
mankasto/Mr.-Ranedeer-AI-Tutor
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
mankasto/musiclm-pytorch
Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch
mankasto/Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
mankasto/segment-anything
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.
mankasto/SRATTA
Implementation of the SRATTA paper
mankasto/streamlit-awesome-table
Table with many features for Streamlit. This component use Bootstrap and FontAwesome.
mankasto/streamlit-shadcn-ui
Using shadcn-ui components in streamlit
mankasto/subspace_dip
Subspace Deep Image Prior, optimizing on a parameter subspace extracted from pretraining
mankasto/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
mankasto/TJCS-Course
:bulb: 同济大学计算机科学与技术、信息安全专业课程资源共享仓库。含部分科目介绍、报告模板、实验工具等内容。期待更多课程加入……
mankasto/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch