Projects with this topic
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Python package to quickly train feed-forward neural networks for supervised learning.
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Old functions to play with neural networks. Developed in December 2024
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Este proyecto es material de la materia optativa "Fundamentos Matemáticos del Aprendizaje Profundo" dictada por el Departamento de Matemática de la Facultad de Ciencias Exactas y Naturales de la Universidad de Buenos Aires
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This projects implements neural-network controllers for two agent-based models: (i) a predator-prey model and (ii) a metabolic network model.
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Internet marketing executive, internet service connection provider, publishing corporation, Digital adults publishing, Digital marketing and advertising industry, Digital media podcast broadcasting streaming games development business developer business Ownership Digital analytics program, IPV6 IPV4, LOCAL NET, INTERNET MARKETING FIR, SEPTEMBER, SEO AGENCY, SERP MASTER, SOCIAL MEDIA NETWORK, SOFTWARE DEVELOPMENT
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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 ™ ✭: MAIN BRAIN PROXIA. GPT-3: Language Models are Few-Shot Learners
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✭ MAGNETRON ™ ✭:
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorchUpdated -
✭ MAGNETRON ™ ✭: Detectron2 is a platform for PROXIA that can do POSE ESTIMATION, object detection, segmentation and other visual recognition tasks.
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✭ 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 ™ ✭: OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
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✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing a EMOTION RECOGNITION PROXIA (B) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
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✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing a FACE RECOGNITION PROXIA (B) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY)
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✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing a VOICE PROXIA (B) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
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✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing a HEARING PROXIA (B) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
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✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing a TRAFFIC COUNTING (TC) PROXIA when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
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✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an OBJECT MASKING PROXIA when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
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