[ICLR'19] Meta-learning with differentiable closed-form solvers

This repository contains the code for the paper On Episodes, Prototypical Networks, and Few-shot Learning

Code for the ICLR 2022 paper "Attacking deep networks with surrogate-based adversarial black-box methods is easy"

A playbook for systematically maximizing the performance of deep learning models.

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

A platform for managing machine learning experiments

Video datasets

A collection of AWESOME things about domian adaptation

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

dotfiles and provisioning for the duxbot2000

Run a conference from your backyard.

Research papers with annotations, illustrations and explanations

Practical Python Programming (course by @dabeaz)

A curated list of awesome self-supervised methods

Collection of less popular features and tricks for the Python programming language

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

An end-to-end PyTorch framework for image and video classification

This is the repository for the distill web framework

Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019

A new test set for ImageNet

A Tensorflow implementation of [siamese-fc](https://github.com/bertinetto/siamese-fc)

Minimal API for receptive field calculation in PyTorch

Black box hyperparameter optimization made easy.

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

PyTorch (0.40) implementation of SiamFC

A clean PyTorch implementation of SiamFC tracking/training, evaluated on 7 datasets.

A TensorFlow implementation of the SiamFC tracker