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awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-math

A curated list of awesome mathematics resources

awesome-network-analysis

A curated list of awesome network analysis resources.

credit_score

data from the kaggle 'give me some credit" competition

deep-bayesian-self-training

Deep Bayesian Self-Training [official implementation]

deep-learning-for-recommendation-systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

deepwalk

DeepWalk - Deep Learning for Graphs

diary

dlrm

An implementation of a deep learning recommendation model (DLRM)

gactoolbox

Graph Agglomerative Clustering (GAC) toolbox

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gobooks

List of Golang books

graphsgan

Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.

ipython

ipython notebooks for machine learning, code behind work at the blog

keras-gcn

Keras implementation of Graph Convolutional Networks

kerasdeepwalk

Building word embedding for large graphs by a set of random walks. Model learning is backed by Keras, which now supports TensorFlow or Theano

llama.cpp

Port of Facebook's LLaMA model in C/C++

mysql-sys

The MySQL sys schema

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

neural-networks-for-differential-equations

UNIVR PDE course project and just for fun

node2vec

normalizing_flows

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

oreilly-intro-to-predictive-clv

Repo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value" on Feb 28, 2017

phase-sim

ising

pydata-seattle-2017

Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle

spinytel-playbooks

surus

thesis

try_graphaware

repo for studying graphaware-neo4j-reco