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A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
Python client for the ENTSO-E API (european network of transmission system operators for electricity)
Data package: time series of load, wind and solar generation
Node-RED node to query electricity spot prices from ENTSO-E Transparency Platform.
Evaluation of four models for electricity price forecast in the wholesale market in Mexico
Ongoing project forecasting day ahead energy prices in Spain
Define a strategy to trade between day ahead and intraday electricity markets with the help of machine learning models
Benchmark of different machine learning models to forecast day-ahead electricity prices
This is the final project following my time at Flatirons Data Science bootcamp. It uses Neural Networks (and other machine learning methods) to predict the day ahead electricity price, and modelled…
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
A python library for user-friendly forecasting and anomaly detection on time series.
Official implementation of "A Transformer approach for Electricity Price Forecasting"
An open-access benchmark and toolbox for electricity price forecasting
Electricty price forecasting using LSTM
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
RAG (Retrieval-Augmented Generation) Chatbot Examples Using PyMuPDF
an example of how to handle the gowalla check in dataset
50+ mini web projects using HTML, CSS & JS
Identifying Human Mobility via Trajectory Embeddings(TUL)
bert-base-chinese example
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Used LSTM and GRU for RNN, KNN for linear regression
Predicting crime in Indore (India), using RNN and KNN.
PyTorch + HuggingFace code for RetoMaton: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022), including an implementation of kNN-LM and kNN-MT
A collection of graph classification methods
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Materials for DGL hands-on tutorial in WWW 2020