15,454 skills found · Page 1 of 516
666ghj / MiroFishA Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物
openai / CLIPCLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
borisbanushev / StockpredictionaiIn 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.
kserve / KserveStandardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
jaungiers / LSTM Neural Network For Time Series PredictionLSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
kootenpv / WhereamiUses WiFi signals :signal_strength: and machine learning to predict where you are
quantopian / AlphalensPerformance analysis of predictive (alpha) stock factors
samyk / MagspoofA portable device that can spoof/emulate any magnetic stripe, credit card or hotel card "wirelessly", even on standard magstripe (non-NFC/RFID) readers. It can disable Chip&PIN and predict AMEX card numbers with 100% accuracy.
Nixtla / NixtlaTimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
shankarpandala / LazypredictLazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
facebookresearch / IjepaOfficial codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."
babybuddy / BabybuddyA :baby: buddy to help caregivers track sleep, feedings, diaper changes, tummy time and more to learn about and predict baby's needs without (as much) guess work.
shirosaidev / StocksightStock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
idealo / Image Quality AssessmentConvolutional Neural Networks to predict the aesthetic and technical quality of images.
uncertainty-toolbox / Uncertainty ToolboxUncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
lilianweng / Stock RnnPredict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
VivekPa / AIAlphaUse unsupervised and supervised learning to predict stocks
minimaxir / Automl GsProvide an input CSV and a target field to predict, generate a model + code to run it.
alexliniger / MPCCModel Predictive Contouring Controller (MPCC) for Autonomous Racing
CalculatedContent / WeightWatcherThe WeightWatcher tool for predicting the accuracy of Deep Neural Networks
