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adsmi-notebooks

ADSMI

airmouse

aitensorflowspecialization

My notes for coursera course AI TensorFlow in Practice Specialization.

alexnet

ImageNet Classification with Deep Convolutional Neural Networks

alexnet-experiments-keras

Code examples for training AlexNet using Keras and Theano

alexnet_with_tensorflow

an implement of AlexNet with tensorflow, which has a detailed explanation.

awesome-bci

Curated Collection of BCI resources

brain-computer-interfaces

Steady-state Visual Evoked Potentials (SSVEP) BCI Classification Algorithms on a 12-Class SSVEP Public Dataset

caffe

Caffe: a fast open framework for deep learning.

caffe-model

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

clinical-brain-computer-interfaces-challenge-wcci-2020-glasgow

This is the dataset for the competition "Clinical Brain Computer Interfaces Challenge" to be held at WCCI 2020 at Glasgow. There are the data of 10 hemiparetic stroke patients who are impaired either by left or right hand finger mobility.

crnn.pytorch

Convolutional recurrent network in pytorch

cs5590_foml

Datasets worked on in association with the CS5590 coursework in IIT Hyderabad

customer-churn-prediction

WARNING: This repository is no longer maintained :warning: This repository will not be updated. The repository will be kept available in read-only mode.

deep-compression-alexnet

Deep Compression on AlexNet

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-coursera-1

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-residual-networks

Deep Residual Learning for Image Recognition

deeplearning.ai

Materials from deeplearning.ai course on Coursera

deeplearning.ai-1

Some work of Andrew Ng's course on Coursera

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

deeplearning.ai_jupyternotebooks

DeepLearning.ai课程学习Jupyter Notebook作业

esp-idf

Espressif IoT Development Framework. Official development framework for ESP32.

fast-neural-style.tf

Feed-forward neural network for real-time artistic style transfer

fast-rcnn

Fast R-CNN

fastai_in_colab

I'll be working through the Fast.ai courses entirely in Google Colab notebooks. I'll publish them here!

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

finetune_alexnet_with_tensorflow

Code for finetuning AlexNet in TensorFlow >= 1.2rc0