Sequential model-based optimization with a `scipy.optimize` interface
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Updated
Jun 4, 2024 - Python
Sequential model-based optimization with a `scipy.optimize` interface
A web-based application for real-time handwritten digit recognition, leveraging a neural network model trained with PyTorch and implemented in JavaScript for the browser
Next.js on 🤗 Spaces
Question Answering using BERT pre-trained model and fine-tuning it on various datasets (SQuAD, TriviaQA, NewsQ, Natural Questions, QuAC)
Hands Control System (HCS) - an application/system that uses AI/computer vision to control a computer mouse by means of movement and hand gestures.
AI based Massive Multiplayer Online Simulation
Portfolio selection is a method for constructing a portfolio of securities.
Needle components for Haystack projects.
Data Science and Machine Learning in Asset Management
The following tools enables to quickly predict the price of the particular asset via Machine Learning Techniques LSTM implementation
Python functions to facilitate the pre-processing of data for ML tasks in a clinical context
Meine vorwissenschaftliche Arbeit über "Maschinelle Werteanpassung bei einer hypothetischen Allgemeinen Künstlichen Intelligenz".
Projekt transformacja, czyli poznaj reguly gry
The simple chatbot trained with different content from pre-downloaded files by implementing ML.
In marketing, the only right people must be targeted so as to cut the costs at SEO, PPC etc. So it is important to be able to cluster different groups of people. Therefore the following study is produced to show how it can be accomplished by implementing K-Means Clustering
Projekt transformacja, czyli Matrix - poznaj szczegóły gry.
This small project applies reinforcement learning to the game of Tic-Tac-Toe using a neural network.
Finding the most dominant colors in an image using the KMeans clustering algorithm. It can help to identify the right design and marketing colours.
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