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/Automatic_Speech_Recognition

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

nd1511/bootstrap.pytorch

Highlevel framework for starting Deep Learning projects (lightweight, flexible, easy to extend)

nd1511/caffe

Caffe: a fast open framework for deep learning.

nd1511/chainer

A flexible framework of neural networks for deep learning

nd1511/DeepRL

Highly modularized implementation of popular deep RL algorithms in PyTorch

nd1511/espnet

End-to-End Speech Processing Toolkit

nd1511/mongolian-speech-recognition

Mongolian speech recognition experiments with PyTorch

nd1511/nara_wpe

Different implementations of "Weighted Prediction Error" for speech dereverberation

nd1511/pysptk

A python wrapper for Speech Signal Processing Toolkit (SPTK).

nd1511/seaborn

Statistical data visualization using matplotlib

nd1511/tensorboard

TensorFlow's Visualization Toolkit

nd1511/tensorflow

An Open Source Machine Learning Framework for Everyone

nd1511/Algorithms

Several algorithms and data structures implemented in C++ by me (credited to others where necessary).

nd1511/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

nd1511/autograd

Efficiently computes derivatives of numpy code.

nd1511/beer

Bayesian spEEch Recognizer

nd1511/coremltools

Converter tools for Core ML.

nd1511/deep-learning-nlp-rl-papers

Recent Deep Learning papers in NLU and RL

nd1511/excitationbp

Visualizing how deep networks make decisions

nd1511/kaggle-api

Official Kaggle API

nd1511/keras-surgeon

Pruning and other network surgery for trained Keras models.

nd1511/msmbuilder

:building_construction: Statistical models for biomolecular dynamics :building_construction:

nd1511/nematus

Open-Source Neural Machine Translation in Tensorflow

nd1511/osprey

Hyperparameter optimization for machine learning pipelines

nd1511/pb_bss

Collection of EM algorithms for blind source separation of audio signals

nd1511/pyemma_tutorials

How to analyze molecular dynamics data with PyEMMA

nd1511/pytorch-maml

PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400

nd1511/scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

nd1511/self-attention-gan

nd1511/unrestricted-adversarial-examples

Contest Proposal and infrastructure for the Unrestricted Adversarial Examples Challenge