nslatysheva

BERT_papers

A collection of BERT-related papers published from November 2018 to December 2019.

ODSC_Sequence_Modelling

Files and code for the ODSC tutorial "Sequence Modelling with Deep Learning"

NNs_deep_learning_group

Notes and code for Cambridge Data Science study group #2: neural networks and deep learning

practical_machine_learning_course

Course notes and code for Cambridge Data Science study group #1 - Practical machine learning

hack_cambridge_2017

Data mining reddit to track political sentiment

data_science_blogging

Code and markdown files for blog posts

cancer_ML

Scripts for gene fusion machine learning project

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

face_detection_implementation_viola_jones

Implementing Viola-Jones face detection algorithm

hack_cambridge_project

ML_for_Hackers

Code accompanying the book "Machine Learning for Hackers"

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

neural_artistic_style

Neural Artistic Style in Python

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

notebooks

Holding public notebooks.

OpenNMT-tf

Neural machine translation and sequence learning using TensorFlow

tmx_parsing

Quick TMX parsing code