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catterplots

Did you ever wish you could make scatter plots with cat shaped points? Now you can!

clrs

:notebook:Solutions to Introduction to Algorithms

coding-exercises

My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.

computational-physics-roots-data-analysis-framework-

cs6501-ml

source files for CS6501-ML Hw

cvpr2015

d2l-pytorch

This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch.

data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deeplearningpython35

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

detectiontutorialspacenet

This is a tutorial on training a network to detect buildings with the SpaceNet data.

detector-tomography-

Phase space tomography for photodetectors

digits

Deep Learning GPU Training System

faster_rcnn

Faster R-CNN

fasttext

Library for fast text representation and classification.

ganhacks

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

gradient-checkpointing

Make huge neural nets fit in memory

hw1

hypertools-paper-notebooks

Supporting notebooks and data from hypertools paper

ipkiss

IPKISS is a parametric design framework focused (but not limited) to Photonic circuit design, originally constructed at Ghent University and IMEC.

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.

lectures

Oxford Deep NLP 2017 course

machine_learning_solutions

It has my solutions for Machine learning Coursera course by Prof. Andrew NG

mmtf-workshop-2018

Structural Bioinformatics Training Workshop & Hackathon 2018

needalight

Repo for calculating properties of squeezed light from waveguided sources.

neural-networks-and-deep-learning

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

neural-style

Torch implementation of neural style algorithm

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

nn-from-scratch

Implementing a Neural Network from Scratch

notes-on-writing

Notes on writing