Showing 21-40 of 126 projects
A Python library that uses computer vision and machine learning to detect when a 'boss' is approaching and hides the screen.
A state-of-the-art deep learning library for time series and sequence modeling in PyTorch/fastai.
A Python library for real-time face detection and emotion/gender classification using deep learning and OpenCV.
This is a Tensorflow-based convolutional neural network for text classification, useful for building NLP applications.
Tutorials on implementing sequence-to-sequence models with PyTorch and TorchText for machine translation and more.
This is a stock prediction AI project that uses a GAN with LSTM and CNN to forecast stock price movements.
Tools to design or visualize the architecture of neural networks
A collection of pre-trained deep learning models and demos optimized for high performance using the OpenVINO toolkit.
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.
A powerful TensorFlow implementation of the Faster R-CNN object detection algorithm.
A PyTorch implementation of Squeeze-and-Excitation Networks, a CNN architecture that enhances feature expressiveness.
A comprehensive collection of deep learning resources including courses, case studies, and interview questions.
A photo-realistic single image super-resolution using a generative adversarial network (SRGAN) library.
Fast R-CNN is a high-performance object detection library written in Python.
A comprehensive collection of research papers on automatic speech recognition, speech synthesis, and related topics.
A TensorFlow-based implementation of Mask R-CNN, a popular deep learning object detection and instance segmentation model.
A PyTorch library for counting the number of floating-point operations (FLOPs) in neural networks.
A Python library that uses Tensorflow and convolutional neural networks to recognize character-based image captchas.
A comprehensive collection of interview questions and answers for AI, computer vision, and LLM topics.
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