AdalFlow: The library to build & auto-optimize LLM applications.

This repo contains the code for the recipe of the winning entry to the Ego4d VQ2D challenge at CVPR 2022.

Source code for CVPR 2022 paper Sylph A Hypernetwork Framework for Few-shot Object Detection

Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering

[CVPR(W) 2022] UIGR: Unified Interactive Garment Retrieval

Dataset used in paper "Learning Fashion Compatibility with Bidirectional LSTMs"

The official home of the Presto distributed SQL query engine for big data

Library for Model Based RL

The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

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

CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.

D2Go is a toolkit for efficient deep learning

ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Video2GIF neural network model from our paper at CVPR2016

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

PyTorch extensions for high performance and large scale training.

The official implementation of G-TAD: Sub-Graph Localization for Temporal Action Detection

PyTorch elastic training

Stochastic Weight Averaging in PyTorch

Code and models for our CVPR'19 paper "Representation Flow for Action Recognition"