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aadc-2017

AADC

autodistill

Images to inference with no labeling (use foundation models to train supervised models)

autodistill-evaclip

autodistill-yolo-world

Yolo-world model for Autodistill

barlowtwins

Implementation of Barlow Twins paper

bytetrack

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

dlbook_notation

LaTeX files for the Deep Learning book notation

encoder-forest

eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding

exagt

latex-resources

Collection of LaTeX resources and examples.

openworldlearningscenarios

pcl_data_filter

personal_literature_review

pytorch-cosine-annealing-with-warmup

scenediffusion

scikit-thi_ciad

Scikit Learn with Modification

simple-cv

A minimalistic CV template with BibLaTeX support

stam-pytorch

Implementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification

timesformer-pytorch

Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification

tracking-pipeline

traffic_sceanrios-votebasedevt

trafficscenarios-rfapsclustering

trafficsim

videogpt

vital-scene

vote-based-evt

Repo for the paper "Open-set Recognition for the Detection of Unknown Classes Based on theCombination of Convolutional Neural Networks and Random Forests"

yolov4-deepsort

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.