Showing 1-20 of 50 projects
Beginner-friendly AI curriculum with 12 weeks, 24 lessons, covering TensorFlow, PyTorch, and AI ethics.
AI learning repository with tutorials and implementations for machine learning, deep learning, and data analysis
A comprehensive collection of deep learning tutorials, articles, and resources for developers.
A tutorial on deep learning by renowned professor Li Hongy, covering a wide range of AI and machine learning topics.
RWKV is an RNN-based language model with high performance, fast training, and flexible transformer-like architecture.
A Lua-based library for building multi-layer recurrent neural networks for character-level language models.
An open-source ChatGPT-like chatbot powered by the RWKV language model, a 100% RNN-based system.
A comprehensive PyTorch tutorial for building neural networks and AI models with ease
This GitHub repository provides a comprehensive collection of TensorFlow 2.x tutorials and examples for AI/ML developers.
A state-of-the-art deep learning library for time series and sequence modeling in PyTorch/fastai.
Tutorials on implementing sequence-to-sequence models with PyTorch and TorchText for machine translation and more.
A recurrent neural network for audio noise reduction, useful for building audio processing tools.
ML library for extracting metadata & text from PDFs using CRF & deep learning
A comprehensive TensorFlow tutorial covering a wide range of machine learning topics for AI-focused developers.
A text classification model using CNN and RNN implemented with TensorFlow for Chinese text data.
An AI-powered Chinese poetry generator built with TensorFlow, focused on helping 'vibe coders' create poetic content.
A comprehensive collection of deep learning resources including courses, case studies, and interview questions.
A TensorFlow-based example of human activity recognition using an LSTM RNN on smartphone sensor data.
A comprehensive collection of research papers on automatic speech recognition, speech synthesis, and related topics.
Pytorch implementations of various Deep NLP models used in the Stanford NLP course cs-224n
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