• Stars
    star
    10
  • Rank 1,807,489 (Top 36 %)
  • Language
    Python
  • License
    MIT License
  • Created about 1 year ago
  • Updated 12 months ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

This repo hosts the code for the Fast Trainable Projection (FTP) project.

More Repositories

1

Continual-Learning-Benchmark

Evaluate three types of task shifting with popular continual learning algorithms.
Python
506
star
2

L2C

Learning to Cluster. A deep clustering strategy.
Python
313
star
3

Awesome-LLM-Robotics

A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
298
star
4

CODA-Prompt

PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"
Python
125
star
5

AlwaysBeDreaming-DFCIL

PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"
Python
59
star
6

Xmodal-Ctx

Official PyTorch implementation of our CVPR 2022 paper: Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning
Python
46
star
7

FeatMatch

PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"
Python
43
star
8

robo-vln

Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"
Python
34
star
9

MultiAgentPerception

Official source code to CVPR'20 paper, "When2com: Multi-Agent Perception via Communication Graph Grouping"
Python
34
star
10

UNO-IC

Python
28
star
11

DomainGeneralization-Stylization

PyTorch code for: Frustratingly Simple Domain Generalization via Image Stylization
24
star
12

Geometric-Sensitivity-Decomposition

Python
18
star
13

DistillMatch-SSCL

PyTorch code for the IJCNN'21 paper: "Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer"
Python
12
star
14

FedFOR

TO BE RELEASED PyTorch code for the preprint: "FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization"
2
star