ghyunsoo

ghyunsoo's Stars

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++187k7.5k40.2k74.4k

• keras-team/keras

  Deep Learning for humans

  Language:Python62.4k1.9k12.3k19.5k

• pytorch/examples

  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

  Language:Python22.6k3976419.6k

• google/deepdream

  13.2k89603.2k

• google/or-tools

  Google's Operations Research tools:

  Language:C++11.5k3103k2.2k

• google-deepmind/graph_nets

  Build Graph Nets in Tensorflow

  Language:Python5.4k225130786

• quark0/darts

  Differentiable architecture search for convolutional and recurrent networks

  Language:Python3.9k86167843

• tensorflow/agents

  TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

  Language:Python2.8k81669720

• magenta/magenta-js

  Magenta.js: Music and Art Generation with Machine Learning in the browser

  Language:TypeScript2k63178317

• uber-research/deep-neuroevolution

  Deep Neuroevolution

  Language:Python1.6k7933301

• Jigsaw-Code/Intra

  An experimental tool that allows you to test new DNS-over-HTTPS services on Android

  Language:Java1.6k252264268

• melodyguan/enas

  TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

  Language:Python1.6k76115390

• D-X-Y/AutoDL-Projects

  Automated deep learning algorithms implemented in PyTorch.

  Language:Python1.6k43124285

• WenjieDu/PyPOTS

  A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

  Language:Python1.2k13190122

• google/cluster-data

  Borg cluster traces from Google

  Language:TeX909380189

• Lux-AI-Challenge/Lux-Design-S1

  Home to the design and engine of the @Lux-AI-Challenge Season 1, hosted on @kaggle

  Language:Jupyter Notebook9031285152

• BayesWatch/nas-without-training

  Code for Neural Architecture Search without Training (ICML 2021)

  Language:Python462162863

• microsoft/causica

  Language:Python456124355

• ds4dm/ecole

  Extensible Combinatorial Optimization Learning Environments

  Language:C++332715768

• Kaggle/kaggle-environments

  Language:Jupyter Notebook3113872157

• pbsinclair42/MCTS

  A simple package to allow users to run Monte Carlo Tree Search on any perfect information domain

  Language:Python21871173

• ds4dm/ml4co-competition

  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition

  Language:Python12714133

• iarai/NeurIPS2022-traffic4cast

  Code accompanying our NeurIPS 2022 traffic4cast challenge

  Language:Jupyter Notebook748922

• xiangning-chen/DrNAS

  Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"

  Language:Python4441016

• beloglazov/planetlab-workload-traces

  A set of CPU utilization traces from PlanetLab VMs collected during 10 random days in March and April 2011

  272122

• DenseLance/mcts-simple

  mcts-simple is a Python3 library that allows reinforcement learning problems to be solved easily with its implementations of Monte Carlo Tree Search.

  Language:Python21251

• rayankrish/CpuUsagePrediction

  Code used for research paper, "Using LSTM and SARIMA Models to Forecast Cluster CPU Usage" for the Stanford CS 229 Machine Learning Course

  Language:Jupyter Notebook17346

• solaris33/CatchGame-QLearningExample-TensorFlow

  Catch game example is translated by TensorFlow

  Language:Python16426

• raggy-rs/dynstack_starters

  StarterKits for the dynstack2020 competition

  Language:Rust1300