nd1511

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

coding-interview-university

A complete computer science study plan to become a software engineer.

OMASGAN_

OoD Minimum Anomaly Score GAN - Code for the Paper 'OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary'

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Proof-Of-Concept

Proof Of Concept: Obtaining Graphs Like Fig. 4 in the Paper "Phase-Aware Single-Channel Speech Enhancement with Modulation-Domain Kalman Filtering"

PythonProgramming

Python Programming

PyTorch-Tutorial-1

Build your neural network easy and fast

RepoRepository

MyRepoRepository

Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

nd1511/kaldi

This is now the official location of the Kaldi project.

nd1511/librosa

Python library for audio and music analysis

nd1511/awesome-matlab

A curated list of awesome Matlab frameworks, libraries and software.

nd1511/Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

nd1511/CS224n

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

nd1511/foolbox

Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …

nd1511/google-research

Google AI Research

nd1511/gym

A toolkit for developing and comparing reinforcement learning algorithms.

nd1511/MLAlgorithms

Minimal and clean examples of machine learning algorithms implementations

nd1511/ParlAI

A framework for training and evaluating AI models on a variety of openly available dialog datasets.

nd1511/pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

nd1511/pySpeechRev

This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of acoustic impulse responses.

nd1511/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

nd1511/pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

nd1511/pytudes

Python programs to practice or demonstrate skills.

nd1511/scikit-learn

scikit-learn: machine learning in Python

nd1511/torch_light

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

nd1511/torchpack

Develop and research with PyTorch more easily.

nd1511/Castor

PyTorch deep learning models by the Data Systems Group at the University of Waterloo

nd1511/keras-contrib

Keras community contributions

nd1511/machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

nd1511/mlcourse.ai

Open Machine Learning Course

nd1511/msmtools

Tools for estimating and analyzing Markov state models

nd1511/nlp-architect

NLP Architect by Intel AI Lab: Python library for exploring the state-of-the-art deep learning topologies and techniques for natural language processing and natural language understanding

nd1511/probability

Probabilistic reasoning and statistical analysis in TensorFlow

nd1511/pybasicbayes

nd1511/PyEMMA

🚂 Python API for Emma's Markov Model Algorithms 🚂

nd1511/shogun

Shōgun

nd1511/spark-deep-learning

Deep Learning Pipelines for Apache Spark

nd1511/tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.