Visualizer for neural network, deep learning and machine learning models
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Updated
May 30, 2024 - JavaScript
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Visualizer for neural network, deep learning and machine learning models
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Bright Wire is an open source machine learning library for .NET with GPU support (via CUDA)
nannyml: post-deployment data science in python
The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Data Science Case Studies for computer science students.
Create powerful Hydra applications without the yaml files and boilerplate code.
Code for paper: Discovering Prominent Differences in Structural and Functional Connectomes Using a Multinomial Stochastic Block Model
This course covers the applied side of algorithmics in machine learning and deep learning, focusing on hands-on coding experience in Python.
Website for the Amherst College Data* Mammoths Research and Learning Group
TurkishBERTweet: Fast and Reliable Large Language Model for Social Media Analysis
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Running analysis built on top of tensorflow's movenet thunder model.
Low-code framework for building custom LLMs, neural networks, and other AI models
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