Pinned Repositories
-Soil-Water-Content-and-Reference-Evapotranspiration
deep-docs
Documentations, guides, logbooks from DEEP Hybrid DataCloud project
deep-oc
DEEP-Hybrid-DataCloud marketplace modules
DEEP-OC-deepscratch
DEEP-OC-domi
DEEP-OC-fasterrcnn_pytorch_api
DQN_irrigation-in-agriculture
An DQN model was train to irrigate a tomato field
fasterrcnn_pytorch_training_pipeline
PyTorch Faster R-CNN Object Detection on Custom Dataset
tomato-yield-estimation
The model obtained daily historical data for one season including average temperature ($T_{Avg}$), average humidity ($HR_{Avg}$), average wind speed ($WS_{Avg}$), reference evapotranspiration ($ETo$), total soil profile (WCTot), irrigation amount, and precipitation ($Prec$) and estimated yield at the end of the season.
yamnet_finetun
By incorporating these scripts into the YAMNet code (https://github.com/tensorflow/models/tree/master/research/audioset/yamnet), you can fine-tune the model.
falibabaei's Repositories
falibabaei/tomato-yield-estimation
The model obtained daily historical data for one season including average temperature ($T_{Avg}$), average humidity ($HR_{Avg}$), average wind speed ($WS_{Avg}$), reference evapotranspiration ($ETo$), total soil profile (WCTot), irrigation amount, and precipitation ($Prec$) and estimated yield at the end of the season.
falibabaei/yamnet_finetun
By incorporating these scripts into the YAMNet code (https://github.com/tensorflow/models/tree/master/research/audioset/yamnet), you can fine-tune the model.
falibabaei/DQN_irrigation-in-agriculture
An DQN model was train to irrigate a tomato field
falibabaei/fasterrcnn_pytorch_training_pipeline
PyTorch Faster R-CNN Object Detection on Custom Dataset
falibabaei/-Soil-Water-Content-and-Reference-Evapotranspiration
falibabaei/deep-docs
Documentations, guides, logbooks from DEEP Hybrid DataCloud project
falibabaei/deep-oc
DEEP-Hybrid-DataCloud marketplace modules
falibabaei/DEEP-OC-deepscratch
falibabaei/DEEP-OC-domi
falibabaei/DEEP-OC-fasterrcnn_pytorch_api
falibabaei/DEEP-OC-tbbrdet_api
falibabaei/Deep-RL-Keras
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
falibabaei/DEEPaaS
A REST API to serve machine learning and deep learning models
falibabaei/FasterRCNN_Federated_Learning_FedAvg_nvflare
falibabaei/fasterrcnn_pytorch_api
falibabaei/flower
Flower: A Friendly Federated Learning Framework
falibabaei/FTSW_prediction_model
falibabaei/GUI_frcnn
falibabaei/LSTM_scratch
falibabaei/NVFlare
NVIDIA Federated Learning Application Runtime Environment
falibabaei/object_detection_api_tensorflow
falibabaei/potato-yield-estimation
The model obtained daily historical data for one season including average temperature ($T_{Avg}$), average humidity ($HR_{Avg}$), average wind speed ($WS_{Avg}$), reference evapotranspiration ($ETo$), total soil profile (WCTot), irrigation amount, and precipitation ($Prec$) and estimated yield at the end of the season.
falibabaei/seq2seq
Sequence to Sequence Learning with Keras
falibabaei/TBBRDet
Thermal Bridges on Building Rooftops Detection (TBBRDet)
falibabaei/tbbrdet_api
falibabaei/visum-2020
VISUM 2020 summer school