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155_miniproject3

Shall I compare thee to a summer’s day? -- Shakespearean sonnets generation (HMM & RNN)

asm-workflow

Workflow for collecting human keypoint annotations using Amazon SageMaker

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

caltech-ee148-spring2020-hw01

Starter Code for Homework #1.

caltech-ee148-spring2020-hw02

Starter code for Homework #2.

caltech-ee148-spring2020-hw03

Starter code for Homework #3.

caltech-honeybee

cameratraps

Tools for training and running detectors and classifiers for wildlife images collected from motion-triggered cameras.

cs320-lab2

cs320-lab2-datasets

data2vec_vision

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

deeplabv3

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

detectron2

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

detr

End-to-End Object Detection with Transformers

dino

Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

dn-detr

[CVPR 2022 Oral]Official implementation of DN-DETR

doubledip

Official implementation of the paper "Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors"

dps

GP Preference

duelingposteriorsampling

Code for simulations accompanying the paper "Dueling Posterior Sampling for Preference-Based Reinforcement Learning" by Novoseller et al. (https://arxiv.org/abs/1908.01289)

ee148cvproject-bee-happy

Bee Happy :)

f22

idol

Next-generation Video instance recognition framework on top of Detectron2 which supports SeqFormer(ECCV Oral) and IDOL(ECCV Oral))

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

mask2former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

matter

Official implementation of Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks

minvis

mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

multimae

Code and pre-trained models for MultiMAE: Multi-modal Multi-task Masked Autoencoders

projects

reinforcement-learning-wildml.com-

Contains a few implementations of RL algorithms based on the code given by denny britz on wildml.com