munya07 Goto Github PK

2018mlconference

논문 컨퍼런스 정리 - Deeplearning

2019twbootcamp

Cinnamon Taiwan 2019 Bootcamp!

ai07-course

This is the teaching material for the 7th issue of the KAIKEBA.

cancer-detection-from-microscopic-tissue-images-with-deep-learning

Cancer Detection from Microscopic Images by Fine-tuning Pre-trained Models ("Inception") for new class labels

cancerous-tissue-detection-cnn

Implementation of a Lymph Node Bening/Malignant Cancer classifier using NASNet CNN + own network resolution layers.

compression-techniques-for-deep-neural-networks

Compression of Deep Neural Networks LeNet-300-100 and LeNet-5 trained on MNIST and CIFAR-10 using Quantization, Knowledge Distillation & Pruning.

dl-workshop-series

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

elmo-modeling

State-of-the-Art Text Classification using Deep Contextual Word Representations

featureengineering

Feature Engineering for Machine Learning, Soledad Galli

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

kaggle

keras-playground

some keras code

knnmnist

Implemented Knn for Mnist Dataset.

medical-ai

Deep neural networks and machine learning for medical image classification

nasnet-keras

Keras implementation of NASNet-A

nasnet-tensorflow

A nasnet in tensorflow

network-analysis-made-simple

For PyCon, PyData, ODSC, and beyond!

nlp

nptel-socialnetworks

NPTEL Course "Social Networks" by Dr. S. R. S. Iyengar, IIT Ropar - Notes, Data sets and Programs

object-detection---computer-vision

Using the Detectron to track objects in a series of images, assigning unique tracking numbers and colours.

python-reference

Python Quick Reference

qnn

Tutorials on Quantized Neural Network using Tensorflow Lite

qnn-inference-examples

Jupyter notebook examples on image classification with quantized neural networks

results

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-neural-network-quantization

A project to evaluate the impact of quantization techniques on the inference time in Neural Networks.

work

fixed-point, symmetric, power-of-2 quantization-aware training in tensorflow 1.13.1