AmazaspShumik
Principal Data Scientist / Machine Learning Engineer
@OpenTableSan Francisco / Palo Alto
AmazaspShumik's Stars
tensorflow/models
Models and examples built with TensorFlow
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
AnthonyCalandra/modern-cpp-features
A cheatsheet of modern C++ language and library features.
deeplearning4j/deeplearning4j
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
fogleman/primitive
Reproducing images with geometric primitives.
alexjc/neural-enhance
Super Resolution for images using deep learning.
spyder-ide/spyder
Official repository for Spyder - The Scientific Python Development Environment
probml/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
boto/boto
For the latest version of boto, see https://github.com/boto/boto3 -- Python interface to Amazon Web Services
transcranial/keras-js
Run Keras models in the browser, with GPU support using WebGL
jcjohnson/fast-neural-style
Feedforward style transfer
ryanjay0/miles-deep
Deep Learning Porn Video Classifier/Editor with Caffe
alrojo/tensorflow-tutorial
Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
GPflow/GPflow
Gaussian processes in TensorFlow
pkmital/CADL
ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
dmotz/thing-translator
📷 🗣 Point your camera at things to hear how to say them in a different language
facebookresearch/CommAI-env
A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130
jaanli/variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
googledatalab/datalab
Interactive tools and developer experiences for Big Data on Google Cloud Platform.
somewacko/deconvfaces
Generating faces with deconvolution networks
tensorflow/deepmath
Experiments towards neural network theorem proving
darksigma/Fundamentals-of-Deep-Learning-Book
Code companion to the O'Reilly "Fundamentals of Deep Learning" book
ikostrikov/TensorFlow-VAE-GAN-DRAW
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
Shark-ML/Shark
The Shark Machine Leaning Library. See more:
mattjj/svae
code for Structured Variational Autoencoders
mila-iqia/summerschool2016
Montréal Deep Learning Summer School 2016 material
conda-forge/tensorflow-feedstock
A conda-smithy repository for tensorflow.
FlytxtRnD/GMM
Gaussian Mixture Model Implementation in Pyspark
vastol/Zurich-ML-talk
Audio Signals Quality Diagnostics with Image Analysis
AmazaspShumik/algorithms
Interesting and fun algorithmic problems & solutions