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chatllama icon chatllama

ChatLLaMA 📢 Open source implementation for LLaMA-based ChatGPT runnable in a single GPU. 15x faster training process than ChatGPT

datasketch icon datasketch

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

deit icon deit

Official DeiT repository

detectron2 icon detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

diffusers icon diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

dinov2 icon dinov2

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

eva icon eva

Exploring the Limits of Masked Visual Representation Learning at Scale (https://arxiv.org/abs/2211.07636)

ffm icon ffm

Field-aware Factorization Machines write in python, train use LBFGS,test in criteo dataset

gbpmf icon gbpmf

Code of of Bayesian Probabilistic Matrix Factorization based on Generalized Gaussian Distribution

group-cam icon group-cam

Code for paper: Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks

jepa icon jepa

PyTorch code and models for V-JEPA self-supervised learning from video.

llama icon llama

Inference code for LLaMA models

mm-cot icon mm-cot

Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)

olmo icon olmo

Modeling, training, eval, and inference code for OLMo

prismer icon prismer

The implementation of "Prismer: A Vision-Language Model with An Ensemble of Experts".

rest icon rest

This is an official implementation for "ResT: An Efficient Transformer for Visual Recognition".

sa-net icon sa-net

Code for our ICASSP 2021 paper: SA-Net: Shuffle Attention for Deep Convolutional Neural Networks

swin-transformer icon swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

volcano icon volcano

[NAACL 2024] Official github for "Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided Revision"

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