[ICIP 2022] CiVOS: Revisiting Click-Based Interactive Video Object Segmentation

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.

[arXiv 2023] Putting the Object Back Into Video Object Segmentation

Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"

This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

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

Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone

The repository for the largest and most comprehensive empirical study of visual foundation models for Embodied AI (EAI).

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

Demystify RAM Usage in Multi-Process Data Loaders

Enabling PyTorch on Google TPU

An open source implementation of CLIP.

Contrastive Language-Image Pretraining

Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.06049.pdf.

Code release for ConvNeXt model

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Colossal-AI: A Unified Deep Learning System for Big Model Era

METER: A Multimodal End-to-end TransformER Framework

Model parallel transformers in JAX and Haiku

Scalable PaLM implementation of PyTorch