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A Telegram bot to recommend arXiv papers
SASA: Semantics-Augmented Set Abstraction for Point-based 3D Object Detection
ArchLinuxARM for OrangePi 5 / 5B / 5 plus with vendor and mainline kernels to choose from
[NeurIPS 2024] Official repository for "Offline Behavior Distillation"
Code for safety test in "Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates"
A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.
CoreScheduler: A High-Performance Scheduler for Large Model Training
Open-source Windows and Office activator featuring HWID, Ohook, KMS38, and Online KMS activation methods, along with advanced troubleshooting.
SAKURA/桜(sakura)/🌸 : Single-cell data Analysis with Knowledge inputs from User using Regularized Autoencoders
Multi-View Transformer for 3D Visual Grounding [CVPR 2022]
Trainers for LLM Training. Accepts Huggingface models and datasets
Universal and Transferable Attacks on Aligned Language Models
The first Object-Oriented Programming (OOP) Evaluaion Benchmark for LLMs
Home Assistant integration for Haier hOn: support for Haier/Candy/Hoover home appliances like washing machines and air conditioners in 28 languages.
PyTorch extensions for high performance and large scale training.
A repository for tracking the infrastructure, deployment and tech issues in general of 52Poké.
An online tool (crawler) to analyze users performance in online judges (coding competition websites). Supported OJ: POJ, HDU, HYSBZ, CodeForces, UVA, ICPC Live Archive, FZU, SPOJ, Timus (URAL), Lee…
A series of large language models trained from scratch by developers @01-ai
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for scholars, enthusiasts, and anyone interested in delving into th…
🎁[ChatGPT4MTevaluation] ErrorAnalysis Prompt for MT Evaluation in ChatGPT
verifying machine unlearning by backdooring
Pytorch implementation of DUT: Learning Video Stabilization by Simply Watching Unstable Videos
[ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable