neural networks
Projects with this topic
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Deep Universal Probabilistic Programming Language
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A Python library for Secure and Explainable Machine Learning
Documentation available @ https://secml.gitlab.io
Follow us on Twitter @ https://twitter.com/secml_py
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Stage de fin d'étude sur le développement d'un modèle d'apprentissage par renforcement multi-objectifs pour répondre à des problèmes éthiques.
Encadrants : Aurélie Beynier, Nicolas Maudet, Paolo Viappiani Date : Mars - Septembre 2022
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A convolutional neural network and a residual neural network for detecting cosmic strings in CMB maps.
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✭ MAGNETRON ™ ✭: for making an IMAGINATION PROXIA/IMAGINATION PROXIA (A1). Instant neural graphics primitives: lightning fast NeRF (Neural Radiance Fields) and more...
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✭ MAGNETRON ™ ✭: The official Exploit Database repository
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✭ MAGNETRON ™ ✭:
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorchUpdated -
✭ MAGNETRON ™ ✭: HEARING PROXIA. DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
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✭ MAGNETRON ™ ✭: YOLOv5
🚀 in PyTorch > ONNX > CoreML > TFLiteUpdated -
✭ MAGNETRON ™ ✭: Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
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✭ MAGNETRON ™ ✭: Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
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✭ MAGNETRON ™ ✭: DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
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Python project for my master's thesis.
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Распознавание дорожных знаков при помощи камеры и YOLOv5, вывод их иконок на экранную форму.
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Graph analysis tools such as embedding techniques and similarity measures.
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TensorFlow examples for Artificial Neural Networks course including: MLP with softmax output layer; MLP and CNN for MNIST dataset; CNN for CIFAR-10 dataset with data augmentation; LSTM with CNN layer for IMDB sentiment classification task.
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A flexible neural network framework for running experiments and trying ideas.
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SecML models and databases zoo.
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sentiment analysis using keras and tensorflow
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