Showing 121-140 of 308 projects
Handwritten notes for Andrew Ng's Coursera Machine Learning course, a popular resource for learning AI/ML.
A TensorFlow-based example of human activity recognition using an LSTM RNN on smartphone sensor data.
A Python library that implements Graph Attention Networks, a powerful neural network architecture for graph-structured data.
An extremely lightweight implementation of GPT-2 in NumPy, useful for vibe coders building AI-powered apps.
Real-time dynamic scene rendering using 4D Gaussian Splatting
A convertor/conversion tool for deep learning models across various deep learning frameworks/software.
An AutoML Python package for tabular data with feature engineering, hyperparameter tuning, and automatic documentation.
A JAX-based neural network library for building and training deep learning models.
A curated collection of deep learning research papers organized by task and with the latest state-of-the-art work labeled.
A curated list of the latest AI breakthroughs in 2022 with explanatory videos, articles, and code.
A curated collection of resources for data science and machine learning enthusiasts.
A delightful machine learning tool that allows you to train, test, and use models without writing code
A computer vision and machine learning library optimized for Arm CPUs and GPUs using SIMD technologies.
A comprehensive collection of research papers on automatic speech recognition, speech synthesis, and related topics.
A PyTorch implementation of the Graph Attention Network model for developers working with AI tools.
A comprehensive machine learning glossary and cheatsheet for data scientists and AI developers.
Open-source neural network chess engine with GPU acceleration and broad hardware support.
A neural network visualization toolkit for the Keras deep learning framework.
A collection of deep learning and reinforcement learning research papers, codes, and resources.
A Python library for evaluating the performance of neural networks for object detection.
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