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Deep neural networks
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.
- GitHub: https://github.com/topics/deep-neural-networks
- Wikipedia: https://en.wikipedia.org/wiki/Deep_neural_networks
- Aliases: deep-neural-network,
- Last updated: 2024-11-06 00:07:18 UTC
- JSON Representation
https://github.com/izhangzhihao/deeplearning-tutorial
Tutorial of DeepLearning.scala
complex-neural-networks deep-learning deep-learning-tutorial deep-neural-networks deeplearning deeplearning-demo deeplearning-notebooks neural-networks scala
Last synced: 23 Oct 2024
https://github.com/dlmacedo/robust-deep-learning
A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.
anomaly-detection classification deep-learning deep-neural-networks machine-learning novelty-detection ood-detection open-set open-set-recognition out-of-distribution out-of-distribution-detection pytorch robust-deep-learning robust-machine-learning trustworthy-ai trustworthy-machine-learning uncertainty-calibration uncertainty-estimation uncertainty-neural-networks
Last synced: 05 Nov 2024
https://github.com/pierremtb/uqpinns-tf2.0
TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks (UQPINNs).
deep-neural-networks mechanical-engineering partial-differential-equations physics-informed tf2
Last synced: 31 Oct 2024
https://github.com/imetomi/tiny-ann
Neural Network library in C
ann c-language data-science deep-learning deep-neural-networks library machine-learning network neural neural-network
Last synced: 12 Oct 2024
https://github.com/nekitmm/funnelact_pytorch
pytorch implementation of Funnel Activation (FReLU)
deep-learning deep-neural-networks frelu funnel-act funnel-activation pytorch resnet
Last synced: 23 Oct 2024
https://github.com/tlatkowski/neural-recommender
Neural recommender system implementation in TensorFlow.
collaborative-filtering deep-learning deep-neural-network deep-neural-networks matrix-factorization neural-collaborative-filtering recommendation-algorithms recommendation-system recommender-system recommender-systems
Last synced: 23 Oct 2024
https://github.com/adendek/DeepLaetitia
Deep Reinforcement Learning that makes you smile
computer-vision deep-neural-networks mathematica reinforcement-learning
Last synced: 04 Aug 2024
https://github.com/choyingw/scadc-depthcompletion
ICASSP 2021: Scene Completeness-Aware Lidar Depth Completion for Driving Scenario
3d autonomous-driving autonomous-vehicles computer-vision deep-neural-networks depth-completion depth-estimation icassp icassp2021 lidar scene-reconstruction stereo-vision
Last synced: 06 Nov 2024
https://github.com/RafayKhattak/YoutubeGPT
YoutubeGPT is a web application powered by OpenAI's Whisper model for speech recognition and GPT-3 for text summarization. It extracts transcriptions from YouTube videos and provides users with concise summaries based on the video content.
deep-neural-networks ffmpeg gpt-3 pytube whisper-ai
Last synced: 05 Aug 2024
https://github.com/reddyprasade/deep-learning
Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on artificial neural networks. Learning can be supervised, semi-supervised or unsupervised. Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and convolutional neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics, drug design, medical image analysis, material inspection and board game programs, where they have produced results comparable to and in some cases superior to human experts.
anns artificial-neural-networks audio-recognition biological-brains board-game-programs deep-learning deep-learning-algorithms deep-learning-tutorial deep-neural-networks deep-reinforcement-learning hierarchical-learning natural-language-processing neural-network neural-networks social-network-filtering speech-recognition
Last synced: 12 Oct 2024
https://github.com/zafarali/sentiment.datalogue
Sentiment analysis challenge for Datalogue recruiting
deep-neural-networks machine-learning nlp sentiment-analysis
Last synced: 13 Oct 2024
https://github.com/tanmoyio/gradman
Baby deep learning library🐣
autograd deep-learning deep-neural-networks
Last synced: 23 Oct 2024
https://github.com/ayushexel/libnet
Deep Neural Network algorithms library for c++ from scratch
artificial-intelligence c c-plus-plus deep-learning deep-neural-networks machine-learning neural-networks
Last synced: 23 Oct 2024
https://github.com/poke1024/bbz-segment
Code and data for the paper at http://arxiv.org/abs/2004.07317
deep-neural-networks historical-data image-segmentation
Last synced: 14 Oct 2024
https://github.com/rahulbhalley/alexnet-architecture.tensorflow
Unofficial TensorFlow implementation of "AlexNet" architecture.
alexnet convolutional-neural-networks deep-learning deep-neural-networks imagenet supervised-learning tensorflow
Last synced: 23 Oct 2024
https://github.com/jmaces/keras-adf
Tensorflow/Keras implementation of Assumed Density Filtering (ADF) based probabilistic neural networks
deep-learning deep-neural-networks keras machine-learning probabilistic-models tensorflow
Last synced: 20 Oct 2024
https://github.com/chachamatcha/DL_Text_Classification
Collection of Deep Learning Text Classification Models in Keras; Includes a GPU tutorial.
benchmark benchmarks deep-learning deep-learning-tutorial deep-neural-networks gpu kaggle kaggle-competition keras keras-tutorials natural-language-processing nlp python tensorflow-gpu text text-classification text-processing toxic-comment-classification tutorial
Last synced: 07 Aug 2024
https://github.com/lamm-mit/fieldcompleter
GAN/convolutional and Transformer models to predict missing mechanical information given limited known data in part of the domain, and further characterize the composite geometries from the recovered mechanical fields for 2D and 3D complex microstructures
analysis computer-vision convolutional-neural-networks deep-learning deep-neural-networks design engineering fracture materials materials-informatics non-destructive-testing science strain stress testing transformers
Last synced: 22 Oct 2024
https://github.com/justusschock/dl-utils
Utilities for Deep Learning with PyTorch (models, losses, metrics etc.)
cnn deep-learning deep-neural-networks loss-functions metrics models neural-network python pytorch
Last synced: 23 Oct 2024
https://github.com/trykatchup/tesi-triennale
Progetto di strumenti basati su Deep Neural Network per la rilevazione di similarità tra password (Tesi Triennale, Ingegneria Informatica T - Alma Mater Studiorum, Università di Bologna)
artificial-intelligence deep-neural-networks nlp password password-similarity security-privacy-machine-learning
Last synced: 13 Oct 2024
https://badripatro.github.io/Question-Paraphrases/
adversarial-machine-learning adversarial-networks answers coling2018 deep-neural-networks paraphrase-generation paraphrase-identification question-answering questions-generation sentiment-analysis sentiment-classification sentiment-scores vqa vqg
Last synced: 03 Aug 2024
https://github.com/khalidbourr/adeept-raspberryyolo-follower
Human Following algorithm implemented on the Adeept AWR 4WD WiFi Smart Robot Car Kit for Raspberry Pi 4 Model. Utilizes YOLOv5 for person detection, empowering the robot to track and follow a human. Accompanied with tailored installation guides for Torch, Torchvision and ROS Noetic on Raspberry Pi 32-bit OS and the robot setup.
deep-neural-networks distributed-architecture distributed-computing distributed-systems human-following-bot motion-planning object-detection perception python3 raspberry-pi-4 robotics
Last synced: 11 Oct 2024
https://github.com/saman-nia/deep-neural-networks-for-clustering
Deep Learning Clustering with Tensor-Flow in Python
autoencoder autoencoder-clustering deep-learning deep-neural-networks k-means-clustering machine-learning spectral-clustering tensorboard tensorflow tensorflow-examples tensorflow-experiments tensorflow-models tensorflow-tutorials
Last synced: 10 Oct 2024
https://github.com/aditya30394/person-re-identification
Person re-identification, a tool used in intelligent video surveillance, is the task of correctly identifying individuals across multiple images captured under varied scenarios from multiple cameras. Solving this problem is inherently a challenging one because of the issues posed to it by low resolution images, illumination changes per image, unconstrained pose and occlusions.
deep-learning deep-neural-networks machine-learning person-re-identification person-reidentification python pytorch pytorch-cnn pytorch-gan
Last synced: 17 Oct 2024
https://github.com/dunnkers/neural-network-backdoors
Implementations and demo of a regular Backdoor and a Latent backdoor attack on Deep Neural Networks.
backdoor-attacks backdoors deep-learning deep-neural-networks mobilenet neural-networks onnx pytorch
Last synced: 14 Oct 2024
https://github.com/cainmagi/mdnt
Modern Deep Network Toolkits for Tensorflow-Keras. This is a extension for newest tensorflow 1.x.
adabound auto-encoder cnn deep-learning deep-neural-networks extension keras keras-tensorflow python python-library python3 python36 swats tensorflow tensorflow-keras toolbox toolkit
Last synced: 27 Oct 2024
https://github.com/nishant-sethi/deeplearning.ai
This is my assignment on Andrew Ng's special course "Deep Learning Specialization" This course consists of five courses: Neural Networks and Deep Learning Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization Structuring Machine Learning Projects Convolutional Neural Networks Sequence Models
andrew-ng-course artificial-intelligence coursera deep-learning deep-learning-algorithms deep-learning-tutorial deep-neural-networks deeplearning-ai face-recognition jupyter-notebook machine-learning object-detection python tensorflow-experiments
Last synced: 10 Oct 2024
https://github.com/rwightman/pytorch-commands
Some PyTorch code for the Kaggle Speech Recognition Challenge
deep-neural-networks kaggle pytorch speech-recognition
Last synced: 23 Oct 2024
https://github.com/autrainer/autrainer
A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks.
autrainer computer-audition deep-learning deep-neural-networks pytorch
Last synced: 01 Nov 2024
https://github.com/luca-parisi/quantum_relu
QReLU and m-QReLU: Two novel quantum activation functions for Deep Learning in TensorFlow, Keras, and PyTorch
activation activation-functions deep-learning deep-neural-networks keras keras-classification-models keras-models keras-neural-networks keras-tensorflow neural-network neural-networks pytorch quantum quantum-algorithms quantum-machine-learning relu relu-activation relu-layer tensorflow torch
Last synced: 23 Oct 2024
https://github.com/x4nth055/food-reviews-sentiment-analysis
Sentiment analyzer that predicts the review star ( from 0 to 5, continuously) of given food text review.
amazon-food-reviews deep-learning deep-neural-networks embeddings keras lstm-neural-networks natural-language-processing regression review-sentiments sentiment sentiment-analysis
Last synced: 23 Oct 2024
https://github.com/KompleteAI/xllm
🦖 X—LLM: Simple & Cutting Edge LLM Finetuning
alpaca cerebras chatgpt deep-learning deep-neural-networks deeplearning falcon gpt language-model large-language-models llama2 llama2-7b llm mistal mistral mistralai natural-language-processing nlp openai vicuna
Last synced: 05 Aug 2024
https://github.com/aniketpatilanalyst/Disease-Prediction-Model
Prediction Model on Cell Images for Detecting Malaria
artificial-intelligence cnn-classification data-science deep-neural-networks disease-prediction image-processing
Last synced: 23 Oct 2024
https://github.com/naivehobo/smart-i
Smart-I is an android application aimed at helping the visually impaired using artificial intelligence and cloud computing.
andorid android android-app android-application caption captioning captioning-images captions cloud cloud-computing deep-learning deep-neural-networks image-recognition visualization
Last synced: 23 Oct 2024
https://github.com/hariharan-devarajan/vanidl
VaniDL is an tool for analyzing I/O patterns and behavior with Deep Learning Applications.
ai analysis data deep-learning deep-neural-networks machine-learning profile storage tensorflow2
Last synced: 28 Oct 2024
https://github.com/saikat-roy/vision-systems-lab
MLPs, DCNNs, Deep Convolutional Autoencoders, LSTM, GRU, ResNets, DCGAN - CudaVision Lab at University of Bonn (SS19)
deep-learning deep-neural-networks jupyter-notebook python3 pytorch pytorch-implmention university-of-bonn
Last synced: 05 Nov 2024
https://github.com/meqdaddev/teachable-machine-lite
A Python package to simplify the deployment process of exported Teachable Machine models into different Robotics, AI and IoT controllers such as: Raspberry Pi, Jetson Nano and any other SBCs using TensorFlowLite framework.
deep-learning deep-neural-networks image-classification machine-learning opencv opencv-python pypi pypi-package python raspberry-pi teachable-machine tensorflow tensorflow2 tensorflowlite tensorflowlite-for-microcontrollers tflite
Last synced: 28 Oct 2024
https://github.com/beegass/cs-541-deep-learning
CS-541 Deep Learning is a graduate class that teaches both a theoretical and practical approach to deep learning. You will be able to see this in the different homework files in the form of workable code that can be tested as well as proofs and explanations as to where the code is coming from.
artificial-neural-networks convolutional-neural-networks deep-learning deep-neural-networks generative-adversarial-network recurrent-neural-networks
Last synced: 03 Oct 2024
https://github.com/zyxue/stanford-cs224n
Exercise answers to the problem sets from CS224n: Natural Language Processing with Deep Learning Winter quarter (January - March, 2017)
cs224n deep-learning deep-neural-networks nlp stanford-machine-learning stanford-nlp tensorflow
Last synced: 23 Oct 2024
https://github.com/rvinas/nnn
Neural network from scratch in Python using Numpy
deep-learning deep-learning-library deep-learning-tutorial deep-neural-networks linear-separability neural-network numpy python
Last synced: 27 Oct 2024
https://github.com/hathibelagal/Deeplearning4JOnAndroid
Deeplearning4J in Android apps
android deep-learning deep-neural-networks
Last synced: 06 Nov 2024
https://github.com/akhilthomas17/reinforced_visual_slam
Reinforcement for state of the art visual slam algorithms with Deep Learning based solutions. Part of my master thesis at University of Freiburg
deep-neural-networks python3 ros ros-kinetic ros-messages ros-services
Last synced: 04 Aug 2024
https://github.com/bkataru/galaxy-classifier
A image classifier that classifies whether a galaxy is spiral, elliptical, or irregular. Built using Tensorflow v2 and Google's inception v3 model.
astrometry astronomical-algorithms astronomical-images astronomy astrophotography astrophysics classification classification-model deep-learning deep-learning-algorithms deep-neural-networks inception inceptionv3 machine-learning machine-learning-algorithms retraining transfer-learning
Last synced: 05 Nov 2024
https://github.com/janasunrise/anime-face-generation-dcgan-webapp
A port of my Anime face generation using Pytorch into a Webapp
anime-face-generation deep-learning deep-neural-networks gan gans machine-learning webapp
Last synced: 15 Oct 2024
https://github.com/Bassem-Makni/NMT4RDFS
Neural Machine Translation for RDFS reasoning: code and datasets for "Deep learning for noise-tolerant RDFS reasoning" http://www.semantic-web-journal.net/content/deep-learning-noise-tolerant-rdfs-reasoning-4
deep-learning deep-neural-networks graph-words nmt nmt-model noise-tolerance rdf rdfs reasoning semantic-web sparql
Last synced: 02 Aug 2024
https://github.com/bobazooba/xllm-demo
Demo project using XLLM
chatbot chatgpt deep-learning deep-neural-networks gpt gpt-4 large-language-models llm mistral natural-language-processing nlp openai pytorch torch transfer-learning transformer transformers
Last synced: 27 Oct 2024
https://github.com/playboy-player/pytorch_dart
Pytorch_Dart is a dart wrapper for Libtorch,striving to provide an experience identical to PyTorch. You can use it as an alternative to Numpy in your Dart/Flutter projects.
android computer-vision cpp cross-platform dart dart-package dartlang deep-learning deep-neural-networks deeplearning flutter flutter-package libtorch linux machine-learning numpy pytorch tensor torch windows
Last synced: 12 Oct 2024
https://github.com/PrincySinghal/Document-classification-and-Data-extraction
Splitting and classifying documents from a pdf or image consisting of 5 classes of documents like Aadhar card,Pan etc followed by information retrieval from each document.
cnn deep-neural-networks ocr python sequential-models
Last synced: 06 Nov 2024
https://github.com/deepmancer/medseg-diffusion
A PyTorch implementation of MedSegDiff, a diffusion probabilistic model designed for medical image segmentation.
cancer-classification deep-learning deep-neural-networks denoising-diffision-probabalistic-models denoising-diffusion diffusion-models fourier-neural-operator image-segmentation medical-imaging
Last synced: 24 Oct 2024
https://github.com/snth/ctdeep
Cape Town Deep Learning Meetup Files
deep-learning deep-neural-networks jupyter-notebook keras keras-neural-networks tutorials
Last synced: 13 Oct 2024
https://github.com/rajsoni03/neuralplot
Neural Plot is a python library for visualizing Neural Networks. It helps to plot Keras/Tensorflow model with matplotlib backend.
3d deep-neural-networks graph keras library matpolotlib neural-network neuralplot tensorflow visualization
Last synced: 11 Oct 2024
https://github.com/csinva/transformation-importance
Using / reproducing TRIM from the paper "Transformation Importance with Applications to Cosmology" 🌌 (ICLR Workshop 2020)
ai artificial-intelligence attribution data-science deep-learning deep-neural-networks explainability explainable-ai feature-engineering feature-importance frequency-domain interpretability interpretation machine-learning ml neural-network pytorch transform transformation wavelet-analysis
Last synced: 23 Oct 2024
https://github.com/karolzak/images-vector-search
Simple implementation of search for visually similar images using deep learning and vector search. It's based on pretrained ImageNet weights so it doesnt require any additional training
cnn deep-learning deep-neural-networks embedding-models image image-processing images keras keras-tensorflow neural-networks resnet resnet-152 resnet-50 similarity-detection similarity-search transfer-learning vector-search vgg vgg19 visual-search
Last synced: 23 Oct 2024
https://github.com/MrAnayDongre/Machine-Learning-Collection
Repo for Implementing Research Papers & Projects related to Machine Learning
bidirectional-lstm chatgpt cnn-classification dcgan-pytorch deep-neural-networks diffusion-models gan imagecaptioning lstm-neural-networks machine-learning object-detection ollama pytorch-implementation pytorch-lightning pytorch-lightning-tutorial rag time-series-analysis transformer wgan-gp-pytorch yolo
Last synced: 07 Aug 2024
https://github.com/naivehobo/jdl
Java Deep Learning Library
deep-learning deep-neural-networks deeplearning gradient-descent java machine-learning machine-learning-algorithms machine-learning-library machinelearning neural-network neural-networks numpy numpy-arrays
Last synced: 23 Oct 2024
https://github.com/justinhchae/stocks
Sentiment Analysis for Stock Prediction
arima cpu-pooling deep-neural-networks facebook-prophet forecasting forecasting-experiements lstm multiprocessing python pytorch sentiment-analysis stock-prediction stock-prices timeseries vader-sentiment-analysis
Last synced: 28 Oct 2024
https://github.com/vanditg/person-retrieval-avss-2018
Implementation of our IEEE AVSS 2018 paper "Person Retrieval in Surveillance Video using Height, Color, and Gender".
alexnet-model color-classification deep-learning deep-neural-networks gender-recognition height-estimation keras maskr-cnn person-retrieval surveillance-video tensorflow
Last synced: 05 Nov 2024
https://github.com/ritvik19/pyradox-tabular
State of the Art Neural Networks for Tabular Deep Learning
deep-learning deep-neural-networks tabular-data
Last synced: 13 Oct 2024
https://github.com/bobazooba/wgpt
This repository features an example of how to utilize the xllm library. Included is a solution for a common type of assessment given to LLM engineers, who typically earn between $120,000 to $140,000 annually
alpaca cerebras chatgpt deep-learning deep-neural-networks deeplearning falcon gpt language-model large-language-models llama2 llama2-7b llm mistral mistralai natural-language-processing nlp openai vicuna zephyr
Last synced: 27 Oct 2024
https://github.com/mr7495/Pistachio-Counting
The Counter Algorithm for counting the open-mouth & closed-mouth pistachios from the paper https://doi.org/10.1007/s42044-021-00090-6
counting-objects deep-learning deep-neural-networks object-detection pistachio
Last synced: 05 Nov 2024
https://github.com/rashadgarayev/image-classificationnn
Image classification svm with simple neural network.
data-preparation deep-neural-networks feature-extraction neuralnetwork opencv-python region-proposal selective-search svm
Last synced: 14 Oct 2024
https://github.com/musco-ai/musco-tf
MUSCO: Multi-Stage COmpression of neural networks
cnn-acceleration cnn-compresion cp-decomposition deep-neural-networks low-rank-approximation musco network-compression tensor-decomposition tensorflow truncated-svd tucker vbmf
Last synced: 14 Oct 2024
https://github.com/varunagarwal97/deep-network-compression
Compressing Deep Neural Network using Singular Value Decomposition
compression deep-neural-networks mnist-dataset singular-value-decomposition tensorflow-experiments
Last synced: 10 Oct 2024
https://github.com/alexander-soare/torchvision_feature_extraction_walkthrough
Walkthrough code for YouTube video https://www.youtube.com/watch?v=QRQBTkCLpFY
computer-vision deep-neural-networks pytorch torchvision
Last synced: 06 Nov 2024
https://github.com/dillondaudert/pssp_lstm
Recurrent neural network implementations for protein secondary structure prediction and language models
amino-acid-sequence deep-learning deep-neural-networks jupyter-notebook language-models lstm paper prediction pretrained-models protein python3 recurrent-neural-networks rnn secondary structure structure-prediction tensorflow unsupervised-learning
Last synced: 12 Oct 2024
https://github.com/choyingw/gais-net
CVPR 2020 Workshop on Scalability in Autonomous Driving: GAIS-Net: Geometry-Aware Instance Segmentation with Disparity Maps
3d autonomous-vehicles computer-vision cvpr2020 deep-neural-networks geometry-processing instance-segmentation mask-rcnn multimodal-deep-learning scalability stereo-vision
Last synced: 06 Nov 2024
https://github.com/simplyyan/galaktaglare
A broad, easy and fast framework for machine/deep learning in Go.
algorithms analysis analytics anomaly-detection automation bash data-science decision-trees deep-learning deep-neural-networks go golang image-classification image-processing machine-learning machine-learning-algorithms nlp text-classification tts voice-recognition
Last synced: 09 Oct 2024
https://github.com/jay-johnson/antinex-datasets
Datasets for training deep neural networks to defend software applications
ai ai-security anti-nex deep-neural-networks deeplearning django flask keras keras-neural-networks machine-learning machine-learning-security network-security open-data react react-redux rest-api spring tensorflow tensorflow-models vue
Last synced: 01 Nov 2024
https://github.com/darkmatter18/underwater-image-enhancement
A Deep Learning CycleGAN Based application, that can enhance the underwater images.
cyclegan deep-learning deep-neural-networks enhancement gan pytorch underwater-images
Last synced: 24 Oct 2024
https://github.com/nico-curti/rfbp
Replicated Focusing Belief Propagation algorithm
belief-propagation cpp17 deep-neural-networks learning-algorithm machine-learning-algorithms python3 spin-glass statistical-mechanics
Last synced: 13 Oct 2024
https://github.com/meqdaddev/teachable-machine
A Python package designed to simplify the integration of exported models from Google's Teachable Machine platform into various environments.
classification-algorithm cnn-classification deep-learning deep-neural-networks image-classification image-processing keras machine-learning opencv opencv-python python
Last synced: 28 Oct 2024
https://github.com/junjuew/tf_object_detection
A Thin Wrapper around Tensorflow Object Detection API for Easy Installation and Use
computer-vision deep-learning deep-neural-networks dependency object-detection object-recognition pypi tensorflow tensorflow-models
Last synced: 10 Oct 2024
https://github.com/vmirly/the-art-of-deep-learning
Deep learning resources: articles, tutorials, ...
deep-learning deep-neural-networks machine-learning
Last synced: 03 Aug 2024
https://github.com/soumik12345/neural-machine-translation
Tensorflow 2.0 implementation of Neural Machine Translation using Transformer Model
attention-mechanism deep-learning deep-neural-networks machine-translation natural-language-processing natural-language-understanding self-attention tensorflow tensorflow2 transformer
Last synced: 24 Oct 2024
https://github.com/aditya30394/reverse-image-captioning
Text to Image Generation (Reverse image captioning): This task is just the reverse of image captioning task. Here, we are trying to generate the images that best fits the textual description.
cnn deep-learning deep-neural-networks gan generative-adversarial-network image-generation python pytorch
Last synced: 17 Oct 2024
https://github.com/shubham3121/laymon
A Python based library used to visualise features maps of a neural network.
deep-neural-networks feature-extraction python pytorch
Last synced: 24 Oct 2024
https://github.com/rwightman/tensorflow-speech_commands
Speech commands training/models from TF repo adapted for speech commands Kaggle
deep-neural-networks kaggle speech-recognition tensorflow
Last synced: 24 Oct 2024
https://github.com/lukaszbinden/spatial-broadcast-decoder
Spatial Broadcast Decoder Tensorflow Implementation
deep-neural-networks representation-learning tensorflow
Last synced: 25 Oct 2024
https://github.com/praveen1664/deeplearning-architectures
This is one of the deep learning architecture, machine learning, CNN, RNN based on tensorflow, pytorch, tensorboard
celeba convolutional-neural-network deep deep-neural-networks ipynb pytorch tensorflow
Last synced: 11 Oct 2024
https://github.com/emaballarin/ebtorch
🤓🔥 Collection of PyTorch additions, extensions, utilities, uses and abuses
artificial-intelligence artificial-neural-networks cognitive-computing deep-learning deep-neural-networks experiments machine-learning neural-network neural-networks neural-representation neural-representations neuro-inspired personal-utilities pytorch pytorch-utils
Last synced: 14 Oct 2024
https://github.com/mr7495/Pesteh-Set
Pesteh-Set, the pistachios dataset from the paper https://doi.org/10.1007/s42044-021-00090-6
closed-mouth-pistachios computer-vision deep-learning deep-neural-networks open-mouth-pistachios pistachio
Last synced: 05 Nov 2024
https://github.com/xunzhuo/lstm-music
👉趣味小项目:通过LSTM 基于Keras做古典音乐🎵
deep-learning deep-neural-networks keras lstm lstm-neural-networks
Last synced: 13 Oct 2024
https://github.com/nitin-bommi/face-mask-detection
A real time face mask detection model
artificial-intelligence caffe caffe2 computer-vision convolutional-neural-networks deep-learning deep-neural-networks face-detection image image-classification image-processing keras machine-learning mobilenetv2 neural-network python tensorflow
Last synced: 12 Oct 2024
https://github.com/sharatsawhney/character_segmentation
A detailed Research project on Character-Segmentation using Neural Networks!
data-science deep-learning deep-neural-networks keras keras-layer keras-models keras-neural-networks matplotlib neural-network numpy opencv-python
Last synced: 03 Nov 2024
https://github.com/0h-n0/torchex
Pytorch Extension Library.
deep-learning deep-neural-networks machine-learning ml neural-network pytorch
Last synced: 28 Oct 2024
https://github.com/bradflaugher/ai-harmony-book
The source text and LaTeX formatting for AI Harmony by Brad Flaugher
deep-neural-networks latex latex-document machine-learning
Last synced: 11 Oct 2024
https://github.com/marcogdepinto/propagandadetection
Creating dataframes from Tweets.
deep-learning deep-neural-networks deeplearning nlp propaganda python
Last synced: 11 Oct 2024
https://github.com/hyzhak/deep-learning-cnn-course-notes
my notes from CNN course of Deep Learning by Andrew Ng
cnn computer-vision deep-learning deep-neural-networks face-recognition jupyter-notebook keras neural-style-transfer object-classification object-detection
Last synced: 05 Nov 2024
https://github.com/VoXera/VoXera
An Open-Source Persian Language Techs Toolkit with Python
deep-learning deep-neural-networks keyword-extraction machine-learning natural-language-processing nlp openai persian persian-language speech-recognition speech-to-text text-processing vosk vosk-api whisper
Last synced: 04 Aug 2024
https://github.com/camara94/convolutional-neural-networks-tensorflow
In Course 2 of the deeplearning.ai TensorFlow Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models.
computer-vision convolutional-neural-networks data-science deep-learning deep-neural-networks tensorflow
Last synced: 05 Nov 2024
https://github.com/dansuh17/pytorch-land
[BETA] Easy-to-use pytorch model trainer, dataloader creators, and utilities + my own implementations of select models
cyclegan deep-learning deep-neural-networks gan generative-adversarial-network generative-model python3 pytorch wgan wgan-gp
Last synced: 14 Oct 2024
https://github.com/nekitmm/stylegan2
Unofficial implementation of StyleGan2 paper
deep-learning deep-neural-networks gan generative-adversarial-network generative-art generative-model image-generation image-processing landscape modconv stylegan2 stylegan2-paper tensorflow2 tf2 unofficial wiki-art wikiart-dataset
Last synced: 24 Oct 2024
https://github.com/anonym0uswork1221/jaraconverse-transformersbased
This JaraConverse model is a cutting-edge Transformer-based supervised Language Model (LLM) specifically designed for generating Python code snippets.
ai code-generator conversational-ai deep-neural-networks keras keras-nlp large-language-model llm machine-learning optimized python scratch tensoflow transformers transformers-models
Last synced: 10 Oct 2024
https://github.com/jay-johnson/antinex-client
AntiNex python client for training and using pre-trained deep neural networks with JWT authentication
ai ai-security anti-nex artificial-intelligence deep-neural-networks jwt keras python rest-client tensorflow
Last synced: 10 Oct 2024
https://github.com/miladsade96/optimized-u-net
Optimized U-Net for Brain Tumor Segmentation
brain-tumor-segmentation brats computer-vision cv deep-learning deep-neural-networks python python3 tumor-segmentation unet
Last synced: 11 Oct 2024
https://github.com/jdleesmiller/carnd-cloning
Train a driverless car to drive around a simulated race track using end-to-end deep learning — from camera images to steering commands. This is the code for my 'Zero to Driverless Race Car with Deep Learning' blog post and talk.
car convolutional-neural-networks deep-learning deep-neural-networks driverless inception ipython-notebook
Last synced: 20 Oct 2024
https://github.com/rahulbhalley/deep-learning-with-swift-for-tensorflow-book
Official source code for "Deep Learning with Swift for TensorFlow" 📖
activation-functions automatic-differentiation cnn convolutional-neural-networks deep-learning deep-neural-networks forward-mode loss-functions machine-learning optimization-methods regularization reverse-mode s4tf swift swift-for-tensorflow tensorflow
Last synced: 27 Oct 2024