Real-time Web Dashboard for Optuna.
#学习与技能提升#📘 The experiment tracker for foundation model training
#计算机科学#Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
Python library for CMA Evolution Strategy.
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) m...
#计算机科学#A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.
#区块链#Free trading system for crypto exchanges SPOT market. Adaptive customizable reverse grid strategy based on martingale.
PyTorch implementation of over 30 realtime semantic segmentations models, e.g. BiSeNetv1, BiSeNetv2, CGNet, ContextNet, DABNet, DDRNet, EDANet, ENet, ERFNet, ESPNet, ESPNetv2, FastSCNN, ICNet, LEDNet,...
Make GNN easy to start with
QSARtuna: QSAR model building with the optuna framework
#计算机科学#Code repository for the online course Hyperparameter Optimization for Machine Learning
📝 Examples of how to use Neptune for different use cases and with various MLOps tools
🔍 Lookup classes and instantiate them with style
#计算机科学#PyTorch-Lightning Library for Neural News Recommendation
This is the implementation of the paper Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate Interactions
Going beyond BEDMAP2 using a super resolution deep neural network. Also a convenient flat file data repository for high resolution bed elevation datasets around Antarctica.
#计算机科学#PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting
This repository contains code for estimating the State of Charge (SoC) of LG HG2 batteries using Fully Connected Network (FCN), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM) mo...
⚡️ AllenNLP plugin for adding subcommands to use Optuna, making hyperparameter optimization easy
Train, evaluate, and optimize implicit feedback-based recommender systems.