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Nguyen Duc Nhat Y's Projects

imageai icon imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

imaginaire icon imaginaire

NVIDIA PyTorch GAN library with distributed and mixed precision support

imgaug icon imgaug

Image augmentation for machine learning experiments.

impress.js icon impress.js

It's a presentation framework based on the power of CSS3 transforms and transitions in modern browsers and inspired by the idea behind prezi.com.

incubator-mxnet icon 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

industry-machine-learning icon industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

instpred icon instpred

Predicting Future Instance Segmentation by Forecasting Convolutional Features

ipython icon ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

iris icon iris

Be smart and embrace the future, today. The fastest web framework for Go in the Universe.

jann icon jann

An easy to use artificial neural network library implemented in Java.

jax icon jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

jina icon jina

Cloud-native neural search framework for ๐™–๐™ฃ๐™ฎ kind of data

kallisto icon kallisto

Efficiently calculate 3D-atomic/molecular features for quantitative structure-activity relationship approaches.

kaolin icon kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

keras icon keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

keras-bigan icon keras-bigan

BiGAN implementation in Keras to detect similarities in Landscapes.

l3c-pytorch icon l3c-pytorch

PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"

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