gitlab.com topics: neural networks
desupervised/borch
Deep Universal Probabilistic Programming Language
Last synced at: 5 months ago - Stars: 4 - Forks: 1
MariusLC/internship-ethical-morl
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
Last synced at: about 2 years ago - Stars: 0 - Forks: 0
telarson/practical-deep-learning-for-coders1
My work for part one of the course.fast.ai Practical Deep Learning for Coders, Part 1 class.
Last synced at: over 2 years ago - Stars: 0 - Forks: 0
saeideh_ab/keras-review-classifier
sentiment analysis using keras and tensorflow
Last synced at: over 2 years ago - Stars: 0 - Forks: 0
oscarhdz/cosmicstringnnresnet_v6
A convolutional neural network and a residual neural network for detecting cosmic strings in CMB maps.
Last synced at: over 2 years ago - Stars: 0 - Forks: 1
GCABC123/gpt-3
✭ MAGNETRON ✭: GPT-3: Language Models are Few-Shot Learners
Last synced at: over 2 years ago - Stars: 0 - Forks: 0
GCABC123/magnetron-artificial-intelligence-2-0-mincloud-proxia-INSTINCTIVE-MIND-3
✭ 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).
Last synced at: over 2 years ago - Stars: 1 - Forks: 0
GCABC123/magnetron-artificial-intelligence-2-0-mincloud-proxia-INSTINCTIVE-MIND-1
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an OBJECT DETECTION proxia when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
Last synced at: over 2 years ago - Stars: 1 - Forks: 0
GCABC123/magnetron-DeepSpeech
✭ 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.
Last synced at: over 2 years ago - Stars: 1 - Forks: 0
GCABC123/magnetron-imagination
✭ MAGNETRON ™ ✭: for making an IMAGINATION PROXIA/IMAGINATION PROXIA (A1). Instant neural graphics primitives: lightning fast NeRF (Neural Radiance Fields) and more...
Last synced at: over 2 years ago - Stars: 1 - Forks: 0
GCABC123/yolov5
✭ MAGNETRON ™ ✭: YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Last synced at: over 2 years ago - Stars: 1 - Forks: 0
GCABC123/magnetron-artificial-intelligence-2-0-mincloud-proxia-INSTINCTIVE-MIND-5-2B
✭ 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).
Last synced at: over 2 years ago - Stars: 1 - Forks: 0
GCABC123/magnetron-artificial-intelligence-2-0-mincloud-proxia-INSTINCTIVE-MIND-6
✭ 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)
Last synced at: over 2 years ago - Stars: 1 - Forks: 0
GCABC123/magnetron-artificial-intelligence-2-0-mincloud-proxia-INSTINCTIVE-MIND-7
✭ 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).
Last synced at: over 2 years ago - Stars: 1 - Forks: 0
GCABC123/magnetron-artificial-intelligence-2-0-mincloud-proxia-INSTINCTIVE-MIND-2
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an OBJECT DETECTION proxia when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
Last synced at: over 2 years ago - Stars: 1 - Forks: 0
GCABC123/magnetron-artificial-intelligence-2-0-mincloud-proxia-IMAGINATION-B
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an IMAGINATION proxia when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
Last synced at: over 2 years ago - Stars: 1 - Forks: 0
GCABC123/magnetron-artificial-intelligence-2-0-mincloud-proxia-IMAGINATION-C
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an IMAGINATION (C) proxia when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
Last synced at: over 2 years ago - Stars: 1 - Forks: 0
GCABC123/magnetron-artificial-intelligence-2-0-mincloud-proxia-BRAIN-MAIN
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing a BRAIN PROXIA (B) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
Last synced at: over 2 years ago - Stars: 1 - Forks: 0
GCABC123/magnetron-artificial-intelligence-2-0-mincloud-proxia-IMAGINATION-A1
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an IMAGINATION (A1) PROXIA when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
Last synced at: over 2 years ago - Stars: 1 - Forks: 0
GCABC123/magnetron-artificial-intelligence-2-0-mincloud-proxia-ASTRAL_VISION-C
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an ASTRAL VISION PROXIA (C) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
Last synced at: over 2 years ago - Stars: 1 - Forks: 0
GCABC123/magnetron-artificial-intelligence-2-0-mincloud-proxia-INSTINCTIVE-MIND-5
✭ 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).
Last synced at: over 2 years ago - Stars: 1 - Forks: 0
GCABC123/magnetron-artificial-intelligence-2-0-mincloud-proxia-INSTINCTIVE-MIND-4_TC
✭ 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).
Last synced at: over 2 years ago - Stars: 1 - Forks: 0
GCABC123/magnetron-artificial-intelligence-2-0-mincloud-proxia-IMAGINATION-D
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an IMAGINATION (D) proxia when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
Last synced at: over 2 years ago - Stars: 1 - Forks: 0
GCABC123/magnetron-artificial-intelligence-2-0-mincloud-proxia-ASTRAL_VISION-B
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an ASTRAL VISION PROXIA when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
Last synced at: 9 months ago - Stars: 1 - Forks: 0
GCABC123/diffusers
✭ MAGNETRON ✭: Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Last synced at: over 2 years ago - Stars: 0 - Forks: 0
GCABC123/detectron2
✭ MAGNETRON ✭: Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Last synced at: over 2 years ago - Stars: 1 - Forks: 0
GCABC123/DeepSpeech
✭ 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.
Last synced at: over 2 years ago - Stars: 1 - Forks: 0
Demonich/road-visor
Распознавание дорожных знаков при помощи камеры и YOLOv5, вывод их иконок на экранную форму.
Last synced at: over 2 years ago - Stars: 0 - Forks: 0
Q-Aktiv/qgraph
Graph analysis tools such as embedding techniques and similarity measures.
Last synced at: over 2 years ago - Stars: 1 - Forks: 0
secml/secml
A Python library for Secure and Explainable Machine Learning Documentation available @ https://secml.gitlab.io Follow us on Twitter @ https://twitter.com/secml_py
Last synced at: about 2 years ago - Stars: 26 - Forks: 17
bearbyt3z/deep-learning-tensorflow-keras-python
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.
Last synced at: over 2 years ago - Stars: 0 - Forks: 0
houmch/artificial-intelligence-course-projects
Last synced at: over 2 years ago - Stars: 0 - Forks: 0
brohrer/cottonwood
A flexible neural network framework for running experiments and trying ideas.
Last synced at: over 2 years ago - Stars: 9 - Forks: 1
secml/secml-zoo
SecML models and databases zoo.
Last synced at: over 2 years ago - Stars: 1 - Forks: 0
Hameem1/deep-learning-for-robust-keyword-spotting
Implementation of a Keyword Spotting Algorithm (KWS) using deep neural networks in the edge.
Last synced at: over 2 years ago - Stars: 0 - Forks: 0
royhung_/sg-headlines-rnn
An application that generates Singapore news headlines using a neural network trained on news headlines from a newspaper in Singapore. The dockerized API application served using Flask, gunicorn, and Nginx.
Last synced at: over 2 years ago - Stars: 0 - Forks: 0
oscarhdz/cosmicstringnn_v2
A convolutional neural network for detecting cosmic strings in CMB maps.
Last synced at: over 2 years ago - Stars: 0 - Forks: 1
godlike-machine-learning/basic-ml/autoencoder
Python implementation of sparse autoencoder for extracting image features.
Last synced at: over 2 years ago - Stars: 0 - Forks: 0
wnyffenegger/mlhw3
basic back propagation based neural network implementation for classifying simple data sets
Last synced at: over 2 years ago - Stars: 0 - Forks: 0
frdrwrt/my_neural_net
Creating a neural network without a ML frame work to predict handwritten digits from the MNIST Database (https://en.wikipedia.org/wiki/MNIST_database)
Last synced at: over 2 years ago - Stars: 0 - Forks: 0
R-Burchnall/rnn_dissertation
Project containing multiple designs of neural networks with the purpose of categorising accelerometer data into driving behaviours. There are 2 densely connected ANNs for categorial classification and binary classification. Also an RNN with LSTM node
Last synced at: over 2 years ago - Stars: 0 - Forks: 0
dcasbol/nn-modularization
Experiments regarding Artificial Neural Network's modularization. Main Hypothesis is that modularization helps to reduce training time and the amount of training data required. Furthermore, it can also help generalization and lead to better results.
Last synced at: over 2 years ago - Stars: 0 - Forks: 0
