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PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
π€ PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
[ECCV2024] VideoMamba: State Space Model for Efficient Video Understanding
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
(NeurIPS 2023) Open-set visual object query search & localization in long-form videos
An efficient video loader for deep learning with smart shuffling that's super easy to digest
π©βπ»π¨βπ» AI μμ§λμ΄ κΈ°μ λ©΄μ μ€ν°λ (βοΈ 1k+)
Official PyTorch code of "Grounded Question-Answering in Long Egocentric Videos", accepted by CVPR 2024.
API for Grounding DINO 1.5: IDEA Research's Most Capable Open-World Object Detection Model Series
[ECCV 2024π₯] Official implementation of the paper "ST-LLM: Large Language Models Are Effective Temporal Learners"
This is the Personality Core for GLaDOS, the first steps towards a real-life implementation of the AI from the Portal series by Valve.
A benchmark to evaluate language models on questions I've previously asked them to solve.
Official implementation of OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on
The official PyTorch implementation of Google's Gemma models
lightweight, standalone C++ inference engine for Google's Gemma models.
Open weights LLM from Google DeepMind.
A performance library for machine learning applications.
Hydra is a framework for elegantly configuring complex applications
Structured state space sequence models
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference,β¦
Scenic: A Jax Library for Computer Vision Research and Beyond
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
High-Resolution Image Synthesis with Latent Diffusion Models