hacktoberfest-dataGenerating stats from the raw Hacktoberfest application data.
Stars: ✭ 21 (-54.35%)
MinefanaBungee/Spigot plugin to send stats to a InfluxDB to be displayed by a Grafana instance.
Stars: ✭ 23 (-50%)
WikiChronData visualization tool for wikis evolution
Stars: ✭ 19 (-58.7%)
worldsBuilding Virtual Reality Worlds using Three.js
Stars: ✭ 23 (-50%)
PygraphblasGraphBLAS for Python
Stars: ✭ 252 (+447.83%)
sparklinesText-based sparkline command line mimicking those of Edward Tuft.
Stars: ✭ 84 (+82.61%)
auto codingA basic and simple tool for code auto completion
Stars: ✭ 42 (-8.7%)
scalajs-highchartsScala.js static typed facades for Highcharts library
Stars: ✭ 30 (-34.78%)
CausingCausing: CAUsal INterpretation using Graphs
Stars: ✭ 47 (+2.17%)
StaticGraphs.jlMemory-efficient immutable LightGraphs.
Stars: ✭ 33 (-28.26%)
React Trend📈 Simple, elegant spark lines
Stars: ✭ 2,453 (+5232.61%)
naruNeural Relation Understanding: neural cardinality estimators for tabular data
Stars: ✭ 76 (+65.22%)
MetaGraphsNext.jlThis is an experimental, type-stable replacement for MetaGraphs
Stars: ✭ 50 (+8.7%)
gfapyGfapy: a flexible and extensible software library for handling sequence graphs in Python
Stars: ✭ 54 (+17.39%)
awesome-dynamic-graphsA collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and related academic and industrial work
Stars: ✭ 89 (+93.48%)
EVEOfficial repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.
Stars: ✭ 37 (-19.57%)
algoexpertAlgoExpert is an online platform that helps software engineers to prepare for coding and technical interviews.
Stars: ✭ 8 (-82.61%)
CovidIndiaStatsA dashboard to visualise the spread of covid19 in India(state and districtwise) and around the world(countrywise).
Stars: ✭ 22 (-52.17%)
CBioInfCpp-0-The lib CBioInfCpp.h contains 3 groups of functions for C++: "Input-Output", "Working with strings", "Working with graphs". Data structures "Adjacency vector" and "Adjacency map" are implemented in the last one (i.e. in "Working with graphs"). See About_CBioInfCpp for details.
Stars: ✭ 12 (-73.91%)
jgraphtMaster repository for the JGraphT project
Stars: ✭ 2,259 (+4810.87%)
Visualize ruby Transform code into a flowchart and experimentally trace the execution path through it
Stars: ✭ 237 (+415.22%)
caffe-simnetsThe SimNets Architecture's Implementation in Caffe
Stars: ✭ 13 (-71.74%)
InpaintNetCode accompanying ISMIR'19 paper titled "Learning to Traverse Latent Spaces for Musical Score Inpaintning"
Stars: ✭ 48 (+4.35%)
SquidA Ruby library to plot charts in PDF files
Stars: ✭ 205 (+345.65%)
feed forward vqgan clipFeed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt
Stars: ✭ 135 (+193.48%)
ntds 2019Material for the EPFL master course "A Network Tour of Data Science", edition 2019.
Stars: ✭ 62 (+34.78%)
cygenCodes for CyGen, the novel generative modeling framework proposed in "On the Generative Utility of Cyclic Conditionals" (NeurIPS-21)
Stars: ✭ 44 (-4.35%)
ldbc snb docsSpecification of the LDBC Social Network Benchmark suite
Stars: ✭ 39 (-15.22%)
eccv16 attr2imgTorch Implemention of ECCV'16 paper: Attribute2Image
Stars: ✭ 93 (+102.17%)
corona cases🦠 Coronavirus Information on Telegram Chatbot
Stars: ✭ 19 (-58.7%)
asyncmachineRelational State Machine with a visual inspector
Stars: ✭ 67 (+45.65%)
Advanced-Shortest-Paths-AlgorithmsJava Code for Contraction Hierarchies Algorithm, A-Star Algorithm and Bidirectional Dijkstra Algorithm. Tested and Verified Code.
Stars: ✭ 63 (+36.96%)
arcdiagramR package arcdiagram
Stars: ✭ 75 (+63.04%)
dawgdicAutomatically exported from code.google.com/p/dawgdic
Stars: ✭ 20 (-56.52%)
MMD-GANImproving MMD-GAN training with repulsive loss function
Stars: ✭ 82 (+78.26%)
The-Stata-GuideFiles for the Stata Guide on Medium https://medium.com/the-stata-guide
Stars: ✭ 105 (+128.26%)
AC-VRNNPyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"
Stars: ✭ 21 (-54.35%)
mix-stageOfficial Repository for the paper Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach published in ECCV 2020 (https://arxiv.org/abs/2007.12553)
Stars: ✭ 22 (-52.17%)
glico-learning-small-sampleGenerative Latent Implicit Conditional Optimization when Learning from Small Sample ICPR 20'
Stars: ✭ 20 (-56.52%)
graphiteHaskell graphs and networks library
Stars: ✭ 31 (-32.61%)
CGMMOfficial Repository of "Contextual Graph Markov Model" (ICML 2018 - JMLR 2020)
Stars: ✭ 35 (-23.91%)
texturize🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.
Stars: ✭ 495 (+976.09%)
sigmaNetRender igraphs from R using Sigma.js
Stars: ✭ 38 (-17.39%)
PREREQ-IAAI-19Inferring Concept Prerequisite Relations from Online Educational Resources (IAAI-19)
Stars: ✭ 22 (-52.17%)
echartyMinimal R/Shiny Interface to ECharts.js
Stars: ✭ 49 (+6.52%)
SeaPearl.jlJulia hybrid constraint programming solver enhanced by a reinforcement learning driven search.
Stars: ✭ 119 (+158.7%)
GraphviewAndroid Graph Library for creating zoomable and scrollable line and bar graphs.
Stars: ✭ 2,643 (+5645.65%)
graphqlA GraphQL to Cypher query execution layer for Neo4j and JavaScript GraphQL implementations.
Stars: ✭ 397 (+763.04%)
DeepgraphAnalyze Data with Pandas-based Networks. Documentation:
Stars: ✭ 232 (+404.35%)
football-graphsGraphs and passing networks in football.
Stars: ✭ 81 (+76.09%)
RAVEOfficial implementation of the RAVE model: a Realtime Audio Variational autoEncoder
Stars: ✭ 564 (+1126.09%)
GatedPixelCNNPyTorchPyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016
Stars: ✭ 68 (+47.83%)
mullyR package to create, modify and visualize graphs with multiple layers.
Stars: ✭ 36 (-21.74%)
ragedbIn Memory Property Graph Server using a Shared Nothing design
Stars: ✭ 75 (+63.04%)
trVAEConditional out-of-distribution prediction
Stars: ✭ 47 (+2.17%)