Stars
C99 library implementation for communicating with the S3 service, designed for maximizing throughput on high bandwidth EC2 instances.
High-speed download of LLaMA, Facebook's 65B parameter GPT model
Simplify Your Visual Data Ops. Find and visualize issues with your computer vision datasets such as duplicates, anomalies, data leakage, mislabels and others.
An open-source implementation of Google's PaLM models
NightmareAI / Real-ESRGAN
Forked from xinntao/Real-ESRGANReal-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
SPIGA: Shape Preserving Facial Landmarks with Graph Attention Networks.
Mask-Free Video Instance Segmentation [CVPR 2023]
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
YOLOv5 ONNX Runtime C++ inference code.
Interactively and visually explore large-scale image datasets used in machine learning using treemaps. VIS 2022
Contains the data used in the DendroMap Live Site. Read the readme for instructions on how to use your own data in the DendroMap!
Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".
🔥 Blazing fast bulk data transfers between any cloud 🔥
min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch
Easily view PyPI download statistics via Google's BigQuery.
Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…
fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing d…
Porting of Pillow resize method in C++ and OpenCV.
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-…