Pinned Repositories
Aircon_logistic
amc
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Awesome-AutoDL
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
c2os5
c2os5 -- 從 C 語言到 RISC-V 作業系統
data-structures-and-algorithms
用程式語言來實作與學習資料結構與演算法
FreeRTOS-GCC-ARM926ejs
A port of FreeRTOS to the ARM 929EJ-S Versatile Platform Baseboard
haq
[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
html_test
mir_robot
multi-agent-cooperation-learning
This is a project based on OpenAI's multi-agent-emergence-environments (Emergent Tool Use from Multi-Agent Autocurricula, Baker et al.), and uses its framework to build a new environment (MACL) where developers can deploy their own experiments in order to study good ways to foster cooperation intelligence in machines. This work was done during a Semester Project at ETH Zürich and I hope it can serve as additional material to support engineers and researchers in using OpenAI's original code to develop their own projects. For more information, a report is attached below under the name "Cooperation Learning in multi-agent systems".
alan303138's Repositories
alan303138/data-structures-and-algorithms
用程式語言來實作與學習資料結構與演算法
alan303138/mir_robot
alan303138/Aircon_logistic
alan303138/amc
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
alan303138/Awesome-AutoDL
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
alan303138/c2os5
c2os5 -- 從 C 語言到 RISC-V 作業系統
alan303138/FreeRTOS-GCC-ARM926ejs
A port of FreeRTOS to the ARM 929EJ-S Versatile Platform Baseboard
alan303138/haq
[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
alan303138/html_test
alan303138/multi-agent-cooperation-learning
This is a project based on OpenAI's multi-agent-emergence-environments (Emergent Tool Use from Multi-Agent Autocurricula, Baker et al.), and uses its framework to build a new environment (MACL) where developers can deploy their own experiments in order to study good ways to foster cooperation intelligence in machines. This work was done during a Semester Project at ETH Zürich and I hope it can serve as additional material to support engineers and researchers in using OpenAI's original code to develop their own projects. For more information, a report is attached below under the name "Cooperation Learning in multi-agent systems".
alan303138/ptt_-crawler
alan303138/tensorflow-yolov4
YOLOv4 Implemented in Tensorflow 2.
alan303138/tpu
Reference models and tools for Cloud TPUs.
alan303138/UnityMLEssentials
Various examples of ml-agents while teaching concepts about it in YouTube