Pinned Repositories
asus_rt-n16
Firmware and tools for ASUS RT-N16
dji-firmware-tools
Tools for handling firmwares of DJI products, with focus on quadcopters.
edgetunnel
Running V2ray inside edge/serverless runtime
nrf52-keyboard
A ble keyboard firmware using nrf52810/52832
ollama
Get up and running with Llama 3, Mistral, Gemma, and other large language models.
ragflow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
serverless-cloud-notepad
☁ Yet Another Cloud Notepad.
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
bingzhenpan's Repositories
bingzhenpan/asus_rt-n16
Firmware and tools for ASUS RT-N16
bingzhenpan/dji-firmware-tools
Tools for handling firmwares of DJI products, with focus on quadcopters.
bingzhenpan/edgetunnel
Running V2ray inside edge/serverless runtime
bingzhenpan/nrf52-keyboard
A ble keyboard firmware using nrf52810/52832
bingzhenpan/ollama
Get up and running with Llama 3, Mistral, Gemma, and other large language models.
bingzhenpan/ragflow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
bingzhenpan/serverless-cloud-notepad
☁ Yet Another Cloud Notepad.
bingzhenpan/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.