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advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

alpaca-lora

Finetuning InstructLLaMA on consumer hardware

anymod.jl

Julia framework for energy system models with a focus on multi-period capacity expansion

articles

Code related to my articles.

attentive-neural-processes

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

backend-container

Container used to run code for Google Colaboratory

battery_model

Sample project modeling battery storage and dispatch

cenrequest

chatbot-for-pdf

Chatbot for PDF

chatgpt-retrieval-plugin

The ChatGPT Retrieval Plugin lets you easily search and find personal or work documents by asking questions in everyday language.

cond_rnn

Conditional RNNs made easy with Tensorflow and Keras.

covid-mask-detector

Detect whether a person is wearing a mask or not

datalab

Interactive tools and developer experiences for Big Data on Google Cloud Platform.

datascience

Curated list of Python resources for data science.

datasciencenotebooks

datashader_powergrid

Demo app exploring the US power grid & renewable plants - Built with Dash, Dask, Datashader & Coiled

deep-forecast-pytorch

Wind Speed Prediction using LSTMs in PyTorch (https://arxiv.org/pdf/1707.08110.pdf)

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deephydro

code for "Forecasting the Evolution of Hydropower Generation"

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeptemporalclustering

:chart_with_upwards_trend: Keras implementation of the Deep Temporal Clustering (DTC) model

dneg_tools

documentgpt

DocumentGPT is a web application that allows you to chat over your research document using OpenAI's chat API and perform semantic search using vector databases. This tool provides a seamless interface for interacting with your research document, exploring search results, and engaging in a conversation with an AI chatbot.

dtc-tensorflow

Implementation of Deep Temporal Clustering.

ealstm_regional_modeling

Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets"

emotion_detection_cpc

Emotion detection in audio utilising self-supervised representations trained with Contrastive Predictive Coding (CPC).

energy-py-linear

Optimizing energy systems using mixed integer linear programming

energy_forecast

gaspredictor_v1

Simple gas consumption predictor with tensorflow

handwritten-digit-recognition

Handwritten digit recognition using neural network trained on 60000 images from MNIST dataset