oluwabukolaadegboro Goto Github PK

aims2020_visualrecognition

AIMS 2020, class on Visual Recognition

all-about-ai-residency

AI residency programs information

amazon-from-space

Detecting deforestation of the Amazon rainforest from satellite images

ammi-2020-bordes-deep-nlp

Lectures and tutorials for the Deep Natural Language Processing class of the African Master's in Machine Intelligence given by Antoine Bordes

ammi-nlp-lab-sessions

Supplementary Machine Learning and Deep Learning tutorial sessions with code to AMMI 2019-2020 cohort.

ammi-tea-talk

ammi_2020_deep_learning_review

The Deep learning course revision materials

analyze-prosper-loan-data

Analyzing and Visualizing the Prosper Loan dataset

anomaly-detection-using-autoencoders

This is the implementation of Semi-supervised Anomaly Detection using AutoEncoders

asr-nigeria-pidgin

audio_waveform_paper_implementation

awesome-ai-residency

List of AI Residency Programs

aws-deepcomposer-samples

bic

pytorch implementation of Large Scale Incremental Learning

building-an-object-tracker

class-incremental-learning

classification-ad

Repository for the paper "Rethinking Assumptions in Anomaly Detection"

cli_tutorial

clsurvey

Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classification tasks." in IEEE TPAMI.

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

convnet_tutorials

Convolutional Network Tutorials (AMMI 2020)

course-gitbook

Full Stack Deep Learning Online Course

crack_segmentation

This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu

cracking-the-coding-interview-in-python

Python Solutions for CTCI

cracks_segmentation_dataset

All in one cracks segmentation dataset()

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

deepcrack

DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.

deepsparse

Neural network inference engine that delivers GPU-class performance for sparsified models on CPUs

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

finding-donors-for-charityml