avotraran Goto Github PK

avotraran

bernouilli-naive-bayes

bhtsne

Barnes-Hut t-SNE

blur-net

Deep Network with Blurring Layer

bytetrack

[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

common_fate_object_learning

Model proposed in the CLeaR 2023 paper "Unsupervised Object Learning via Common Fate".

data-generation-with-blender

Step-by-step tutorial on how to create data with Blender for an object detection application, with ressources included.

deeplearning

ART.T458: "Machine Learning" in Tokyo Institute of Technology

deepul

deform

ICRA 2021 paper code: Deformable Linear Object Prediction Using Locally Latent Linear Dynamics.

dl_project

dnn_activations_functions

e2e-demo

End2End Machine learning

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

end-to-end-autonomous-driving

All you need for End-to-end Autonomous Driving

finding-object-by-robotic-arm

Dependencies OpenCV The Open Computer Vision library, in the form of python, was used to perform image parsing and analysis. This was used to apply a masking filter to each image, then parse each image for the contours of the marker / target. Numpy The Numerical Python (Numpy) library was used to provide advanced array and matrix functionality fo

fruit-images-dataset

Fruits-360: A dataset of images containing fruits and vegetables

glfm

General Latent Feature Modeling for Heterogeneous data

kernels-ammi-2022

keypoint_rcnn_training_pytorch

How to Train a Custom Keypoint Detection Model with PyTorch (Article on Medium)

metaai

A deep learning library specialised for meta-learning, based on fastai and Pytorch

multinomial-naive-bayes

Implementation of Multinomial Naive Bayes algorithm from scratch

neat

[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving

nlp_dl_lecture_note

nlp_week1_labs

nmt

TensorFlow Neural Machine Translation Tutorial

nn

ohmyzsh

🙃 A delightful community-driven (with 2,000+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

open-pepper-project

Public knowledge, help, code, contributions and projects about how to work with Softbank Robotics' Pepper robot model

paper-computer-vision

Computer vision papers