Pinned Repositories
AntBook
蟻本をPythonで解いていく
AtCoder
AtCoder Contest Code in Python: Shortest Path Problem / DP / BFS / DFS / Dijkstra / Warshall Floyd / Priority Queue etc.
boston_terrier
エンジニアサマーインターン2019 チーム「ボストンテリア」川柳bot
Deep-Learning-for-Human-Activity-Recognition
Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).
Greedy_Layer-Wise_Pretraining
Greedy Layer-Wise Pretrainingを実装してみる
nishika-cable-classification-1st-place
Training code of "Cable Connector Classification" Challenge 1st place solution
nishika16_2nd_solution
2nd place solution of Nishika Lithium Battery SOC Prediction
Time-Series-Demand-Forecasting
Time-series demand forecasting is constructed by using LSTM, GRU, LSTM with seq2seq architecture, and prophet models.
used_car_price_prediction
visualize-fully-connected-layer-weight
Keras implementation to visualize outputs and weights of fully connected layer.
takumiw's Repositories
takumiw/Deep-Learning-for-Human-Activity-Recognition
Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).
takumiw/Time-Series-Demand-Forecasting
Time-series demand forecasting is constructed by using LSTM, GRU, LSTM with seq2seq architecture, and prophet models.
takumiw/AntBook
蟻本をPythonで解いていく
takumiw/Greedy_Layer-Wise_Pretraining
Greedy Layer-Wise Pretrainingを実装してみる
takumiw/nishika-cable-classification-1st-place
Training code of "Cable Connector Classification" Challenge 1st place solution
takumiw/nishika16_2nd_solution
2nd place solution of Nishika Lithium Battery SOC Prediction
takumiw/used_car_price_prediction
takumiw/visualize-fully-connected-layer-weight
Keras implementation to visualize outputs and weights of fully connected layer.
takumiw/AtCoder
AtCoder Contest Code in Python: Shortest Path Problem / DP / BFS / DFS / Dijkstra / Warshall Floyd / Priority Queue etc.
takumiw/boston_terrier
エンジニアサマーインターン2019 チーム「ボストンテリア」川柳bot
takumiw/cibook-python
takumiw/clock
takumiw/cs231n
My implementations of Stanford cs231n assignments
takumiw/Darts-Applications
takumiw/Deep_Belief_Networks
Deep Belief Networksを実装してみる
takumiw/Instance-Segmentation-PyTorch-Samples
takumiw/Machine_Learning_at_Work
仕事ではじめる機械学習
takumiw/My-Sound
Recommend music using Spotify APIs
takumiw/postgres_practice
takumiw/src
takumiw/Unity
Unity Games
takumiw/vue-learn
Vue.jsの勉強会
takumiw/weatherclothes
weather and clothes