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An introduction to building deep neural networks using Keras and TensorFlow for Python developers.
A curated list of awesome resources on transformers in time series analysis, forecasting, and more.
This repository provides a roadmap and code samples for machine learning, deep learning, and related AI technologies.
A PyTorch library for processing spatiotemporal graph data using neural machine learning models.
A curated list of articles related to deep learning applied to music and audio processing.
PyTorch compiler for NVIDIA GPUs using TensorRT, enabling efficient deep learning inference on CUDA hardware.
Pytorch implementations of various Deep NLP models used in the Stanford NLP course cs-224n
A model library for exploring state-of-the-art deep learning techniques for optimizing NLP neural networks.
A curated list of Machine Learning Summer School resources for developers interested in AI and ML.
This is an unofficial PyTorch implementation of the BigGAN deep generative adversarial network (GAN) model.
A Deep Learning-based chatbot implementation in TensorFlow for natural language conversation.
A Python library focused on improving YOLO models for object detection and computer vision tasks.
Keras Tuner is a hyperparameter optimization library that helps developers find the best neural network architecture and hyperparameters for their Keras models.
A Python library that uses machine learning to automatically recognize 12306 (Chinese railway) captchas.
An automatic model compression framework for developing smaller and faster AI applications.
A curated list of the latest AI research papers from 2021 with explanations and code samples
This GitHub repository contains projects for the Udacity Self-Driving Car Engineer Nanodegree, focusing on computer vision, deep learning, and autonomous vehicle technology.
A distributed graph deep learning framework for building graph-based AI models and applications.
Deep learning driven jazz generation using Keras and Theano
A refreshing functional take on deep learning, compatible with popular ML libraries like TensorFlow and PyTorch.
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