Lists (1)
Stars
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
a full-stack message board website using spring-boot and vue.js
[KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)
seizure type classification using TUH dataset
GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
Windows compile of bitsandbytes for use in text-generation-webui.
Examples and guides for using the OpenAI API
[CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking
Customizable implementation of the self-instruct paper.
Convenient wrapper for fine-tuning and inference of Large Language Models (LLMs) with several quantization techniques (GTPQ, bitsandbytes)
Code and documentation to train Stanford's Alpaca models, and generate the data.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
A deidentifier / deidentification pipeline developed by Stanford and Penn as part of the MIDRC organization.
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!
Methods to automate movement-based assessments for infants using video analysis
A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
"Learning Delicate Local Representations for Multi-Person Pose Estimation" (ECCV 2020 Spotlight) & (COCO 2019 Human Keypoint Detection Challenge Winner) & (COCO 2019 Best Paper Award)
This is an official implementation of our CVPR 2021 paper "Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression" (https://arxiv.org/abs/2104.02300)
A PyTorch implementation of MobileNet V2 architecture and pretrained model.