aldakata

CCLM

Class-Conditional Label-noise Modelling

ClassConditionalC2D

FH_p4

Assignatura Factors Humans pràctica 4

actions-per-minute-tracker

An Actions-Per-Minute Tracker (APM) to provide insights into your APM while you play

aldakata.github.io

AnnotationsAnalysis

AoC2020

C2D

PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"

ffcv

FFCV: Fast Forward Computer Vision (and other ML workloads!)

imagenet-annotation-tool

NeglectedFreeLunch

cultural-distance-from-spotify-data

Data-Science--Cheat-Sheet

Cheat Sheets

Dataset_Quantization

[ICCV2023] Dataset Quantization

DivideMix

Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

github-pages-with-jekyll

Hackathon_2018

Team MAET's project for UB hack 2018

HackUB2019

UB's game from team maet

Minigrid

Simple and easily configurable grid world environments for reinforcement learning

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

noisy-gridworld

pplane

Cloud version of PPlane in golang

python-pcl

Python bindings to the pointcloud library (pcl)

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

scalabletrustworthyai.github.io

Spark

The Epic Game

tnt

Simple tools for logging and visualizing, loading and training