Pathways for Renewable Energy Planning coupling Short-term Hydropower OperaTion

Chinese-Vicuna: A Chinese Instruction-following LLaMA-based Model —— 一个中文低资源的llama+lora方案，结构参考alpaca

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

proof of concept for a transformer-based time series prediction model

Implementation of the paper NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting.

Predicting the behavior of $BTC-USD by training a memory-based neural net on historical data

My implementation of the transformer architecture from the Attention is All you need paper applied to time series.

Massively Parallel Deep Reinforcement Learning. 🔥

Transformer implemented in Keras

An elegant PyTorch deep reinforcement learning library.

My blogs and code for machine learning. http://cnblogs.com/pinard

A Cross Platform Sci-Hub GUI Application

Matplotlib styles for scientific plotting

Natural Gradient Boosting for Probabilistic Prediction

Some basic examples of playing with RL

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

JHipster is a development platform to quickly generate, develop, & deploy modern web applications & microservice architectures.

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running mat…

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