pg1647
NYU Tandon Graduate || Working on Image Compression using Machine Learning
New York UniversityNew York
pg1647's Stars
google-ai-edge/mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
fchollet/deep-learning-models
Keras code and weights files for popular deep learning models.
Atcold/NYU-DLSP20
NYU Deep Learning Spring 2020
jason718/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
jacobeisenstein/gt-nlp-class
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
chiphuyen/ml-interviews-book
https://huyenchip.com/ml-interviews-book/
enggen/Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
Sroy20/machine-learning-interview-questions
This repository is to prepare for Machine Learning interviews.
InterDigitalInc/CompressAI
A PyTorch library and evaluation platform for end-to-end compression research
tensorflow/compression
Data compression in TensorFlow
kratzert/finetune_alexnet_with_tensorflow
Code for finetuning AlexNet in TensorFlow >= 1.2rc0
yassouali/ML-paper-notes
:notebook: Notes and summaries of various ML, Computer Vision & NLP papers.
gidariss/FeatureLearningRotNet
kbardool/Keras-frcnn
Keras Implementation of Faster R-CNN
geifmany/cifar-vgg
VGG16 models for CIFAR-10 and CIFAR-100 using Keras
depthfirstlearning/depthfirstlearning.com
ghallak/jpeg-python
JPEG encoder/decoder written in Python
pkorus/neural-imaging
[CVPR'19, ICLR'20] A Python toolbox for modeling and optimization of photo acquisition & distribution pipelines (camera ISP, compression, forensics, manipulation detection)
cvalenzuela/hpc
A quick reference to access NYU High Performance Computing
Kooscii/BadNets
asappresearch/aum
chinmayhegde/ece6143-spring20
calebrob6/imagenet_validation
zihaoliu123/Feature-Distillation-DNN-Oriented-JPEG-Compression-Against-Adversarial-Examples
mdipcit/tensorflow-block-DCT
Block Discrete Cosine Transform (block DCT) using TensorFlow
zihaoliu123/DeepN-Jpeg
dorukkilitcioglu/dorukkilitcioglu.github.io
Personal webpage
yanji84/neural-network
Modular layer design, full backprop implementation, various update rules, drop-out regularization, batch normalization, convolution and max pool sampling