The Security Toolkit for LLM Interactions

Large Language Model (LLM) Systems Paper List

A curated list of awesome computer vision resources

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

LLM training code for Databricks foundation models

Code for Parsel 🐍 - generate complex programs with language models

pytorch implementation of the ICCV'21 paper "MVTN: Multi-View Transformation Network for 3D Shape Recognition"

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[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

PyTorch code and models for the DINOv2 self-supervised learning method.

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RoboBEV: Towards Robust Bird's Eye View Perception under Common Corruption and Domain Shift

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Official repo for consistency models.

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.

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

Code and documentation to train Stanford's Alpaca models, and generate the data.

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Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)

[CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis

Code for Geometry-Aware Generation of Adversarial Point Clouds

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.