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/awesome-python

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

nd1511/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/adanet

Fast and flexible AutoML with learning guarantees.

nd1511/edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

nd1511/ignite

High-level library to help with training neural networks in PyTorch

nd1511/SincNet

SincNet is a neural architecture for efficiently processing raw audio samples.

nd1511/blocks

A Theano framework for building and training neural networks

nd1511/fastai

The fastai deep learning library, plus lessons and and tutorials

nd1511/graph_nets

Build Graph Nets in Tensorflow

nd1511/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

nd1511/PConv-Keras

Keras implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions"

nd1511/practice-python

Part of my daily plan for studying Python.

nd1511/pyannote-audio

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, speaker embedding

nd1511/pygcn

Graph Convolutional Networks in PyTorch

nd1511/PySurfer

Cortical neuroimaging visualization in Python

nd1511/pytorch2keras

Pytorch to Keras model convertor

nd1511/pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

nd1511/rethinking-network-pruning

Rethinking the Value of Network Pruning (Pytorch)

nd1511/tensorpack

A Neural Net Training Interface on TensorFlow

nd1511/trellisnet

Trellis Networks for Sequence Modeling

nd1511/trfl

TensorFlow Reinforcement Learning

nd1511/tutorials-1

Caffe2 Tutorials

nd1511/CNTK

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

nd1511/Deep-Learning

nd1511/DeepSpeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

nd1511/examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

nd1511/keras-rl

Deep Reinforcement Learning for Keras.

nd1511/mmdetection

Open MMLab Detection Toolbox

nd1511/modeling-nonlinear

Audio examples for the paper 'Modeling of nonlinear audio effects with end-to-end deep neural networks'

nd1511/pytorch_sparse

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations