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accel-brain-code

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) that I have written in my website. Especially, Natural Language Processing, Statistical Machine Learning, and Deep Reinforcement Learning are main topics.

alil

Learning active learning policy with deep imitation learning

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

automatic_speech_recognition

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

awesome-2vec

Curated list of 2vec-type embedding models

awesome-latex-drawing

Drawing Bayesian networks, graphical models and framework with LaTeX.

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using pretrained BERT model

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

co-teaching

NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

context

ConText v4: Neural networks for text categorization

d2l-zh

《动手学深度学习》

deep-learning-with-python-cn

Deep Learning with Python 中文翻译

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deeppose

DeepPose implementation in Chainer

deeprl-tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

deformable-convnets

Deformable Convolutional Networks

dimensionality-driven-learning

Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018

estimation-of-remaining-useful-life-using-cnn

Convolutional Neural Network based regression approach for estimating machinery's remaining useful life

fasttext

Library for fast text representation and classification.

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gaussian-mixture-models

Gaussian Mixture Model (GMM) and Gaussian Mixture Regression (GMR) implemented purely on numpy

gcforest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

gmm-em

The EM Algorithm for Gaussian Mixtures

gmr

Gaussian Mixture Regression

gpy

Gaussian processes framework in python

handong1587.github.io

importance-sampling

Code for experiments regarding importance sampling for training neural networks

improved-gan

code for the paper "Improved Techniques for Training GANs"

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras_bn_library

keras extended library