JingtongSu
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Steering Llama 2 with Contrastive Activation Addition
A series of math-specific large language models of our Qwen2 series.
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).
Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks [arXiv, Apr 2024]
A high-throughput and memory-efficient inference and serving engine for LLMs
Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought and OpenAI o1 🍓
OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Pytorch SimCLR on CIFAR10 (92.85% test accuracy)
Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
High-Resolution Image Synthesis with Latent Diffusion Models
A latent text-to-image diffusion model
MinImagen: A minimal implementation of the Imagen text-to-image model
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
Code and documentation to train Stanford's Alpaca models, and generate the data.
A comprehensive list of published machine learning applications to cosmology
A collection of resources and papers on Diffusion Models
Machine Learning and Computer Vision Engineer - Technical Interview Questions