(CVPR 2021 Oral) Open World Object Detection

AutoDeeplab / auto-deeplab / Hierarchical Neural Architecture Search / AutoML for semantic segmentation, implemented in Pytorch

A curated list of important published computer vision paper on a weekly basis

A curated list of the most impressive AI papers

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Tools for generating mini-ImageNet dataset and processing batches

Official repository for PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation

Sustainable Learning Machines for On-Device Holistic Intelligence

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

PyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"

VQACL: A Novel Visual Question Answering Continual Learning Setting (CVPR'23)

[AAAI2023] Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA Task (Oral)

Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight)

DeepSQA repo for the paper "DeepSQA: Understanding Sensor Data via Question Answering"

Deep Learning Specialization course offered by DeepLearning.AI on Coursera

public repo for TANGO (Target Aware No-code neural network Generation and Operation framework)

SparCL: Sparse Continual Learning on the Edge @ NeurIPS 22

AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation

NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

PyTorch code for our CoLLAs-2022 paper "Online Continual Learning for Embedded Devices"

A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neuroc…

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.