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[NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-sim…
[NeurIPS 2024 Oral] Aligner: Efficient Alignment by Learning to Correct
3DSlicer plugin for inpainting lung nodules in 3D chest CT data.
[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Align Anything: Training All-modality Model with Feedback
Code implementation of paper Towards A Deep and Unified Understanding of Deep Neural Models in NLP
LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models
AIDE: the state-of-the-art machine learning engineer agent, generating machine learning solution code from natural language descriptions.
Improved techniques for optimization-based jailbreaking on large language models
Heterogeneous Pre-trained Transformer (HPT) as Scalable Policy Learner.
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
PyTorch implementation of MAR+DiffLoss https://arxiv.org/abs/2406.11838
A collection of prompts, system prompts and LLM instructions
[ACL24] Official Repo of Paper `ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs`
Awesome-Jailbreak-on-LLMs is a collection of state-of-the-art, novel, exciting jailbreak methods on LLMs. It contains papers, codes, datasets, evaluations, and analyses.
An easy-to-use Python framework to generate adversarial jailbreak prompts.
KeyCastr, an open-source keystroke visualizer
Model interpretability and understanding for PyTorch
Solutions to exercises and problems from "Introduction to Algorithms", Fourth Edition by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein
A C++ & Python viewer for 3D data like meshes and point clouds
This repository contains the pseudocode(pdf) of various algorithms and data structures necessary for Interview Preparation and Competitive Coding
PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
[NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)
Computations and statistics on manifolds with geometric structures.
