Projects in Awesome Lists tagged with deep-neural-networks

https://github.com/prudhvignv/speech-emotion-recognization

Speech Emotion Detection using SVM, Decision Tree, Random Forest, MLP, CNN with different architectures

cnn deep-learning deep-neural-networks ipynb machine-learning-algorithms mlp ravdass speech-emotion-detection svm

Last synced: 27 Sep 2024

https://github.com/Sardhendu/PropertyClassification

Classifying the type of property given Real Estate, satellite and Street view Images

aerial-imagery airflow autoencoder computer-vision deep-learning deep-neural-networks deeplearning georeferencing python-3 resnet-18 resnet-50 satellite-imagery tensorflow

Last synced: 31 Jul 2024

https://github.com/fabprezja/keras-gpt-copilot

Integrate an LLM copilot within your Keras model development workflow

deep-learning deep-neural-networks gpt keras llms openai skynet

Last synced: 30 Sep 2024

https://github.com/ibm/max-text-summarizer

Generate a summarized description of a body of text

deep-neural-networks docker-image machine-learning tensorflow-models

Last synced: 26 Sep 2024

https://github.com/annamalai-nr/subgraph2vec_tf

This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper

deep-learning deep-neural-networks graph-kernels kdd kernel-methods skipgram tensorflow

Last synced: 31 Jul 2024

https://github.com/sebastian-sz/resnet-rs-keras

ResNet-RS models rewritten in Tensorflow / Keras functional API.

deep-learning deep-neural-networks image-classification keras onnx tensorflow tensorflow-lite tensorflow-models tensorflow2

Last synced: 26 Sep 2024

https://github.com/IBM/MAX-Text-Summarizer

Generate a summarized description of a body of text

deep-neural-networks docker-image machine-learning tensorflow-models

Last synced: 04 Aug 2024

https://github.com/Zhenye-Na/gcn-spp

Shortest Path prediction using Graph Convolutional Networks

deep-neural-networks graph-convolutional-networks shortest-path

Last synced: 01 Aug 2024

https://mithi.github.io/deep-blueberry/

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

computer-vision convolutional-neural-networks deep-learning deep-learning-algorithms deep-learning-tutorial deep-neural-networks deep-reinforcement-learning generative-adversarial-network keras-tensorflow long-short-term-memory machine-learning machine-learning-algorithms pytorch-implementation pytorch-tutorial recurrent-neural-networks reinforcement-learning variational-autoencoder

Last synced: 31 Jul 2024

https://github.com/andreasmazur/geoconv

A Python library for end-to-end learning on surfaces. It implements pre-processing functions that include geodesic algorithms, neural network layers that operate on surfaces, visualization tools and benchmarking functionalities.

benchmarking convolutional-neural-networks deep-learning deep-neural-networks geodesic-algorithm geometric-deep-learning geometry-processing keras machine-learning neural-network neural-networks tensorflow visualization

Last synced: 29 Sep 2024

https://github.com/kaleidophon/awesome-experimental-standards-deep-learning

Repository collecting resources and best practices to improve experimental rigour in deep learning research.

awesome-list deep-learning deep-learning-papers deep-learning-research deep-learning-tutorial deep-neural-networks experimental-design machine-learning research resources

Last synced: 03 Oct 2024

https://github.com/tirendazacademy/deep-learning-with-tensorflow

Deep Learning with TensorFlow

deep-learning deep-learning-algorithms deep-learning-tutorial deep-neural-networks keras keras-tensorflow keras-tutorials machine-learning machinelearning-python tensorflow-examples tensorflow-models tensorflow-tutorials

Last synced: 26 Sep 2024

https://github.com/scitator/yats2s

deep-learning deep-neural-networks natural-language-processing neural-machine-translation nlp nmt seq2seq sequence-to-sequence tensorflow

Last synced: 03 Oct 2024

https://github.com/Deyht/CIANNA

Convolutional Interactive Artificial Neural Networks by/for Astrophysicists

astronomy astrophysics convolutional-neural-networks cuda deep-learning deep-neural-networks gpu machine-learning ml neural-network object-detection yolo

Last synced: 02 Aug 2024

https://github.com/akimach/gestureai

RNN(Recurrent Nerural network) model which recognize hand-gestures drawing 5 figures.

coreml dataset deep-learning deep-neural-networks demo ios keras keras-models keras-tensorflow machine-learning python python-2 recurrent-nerural-network rnn tensorflow

Last synced: 01 Oct 2024

https://github.com/donutloop/machine-learning-research-papers

Collection of machine learning research paper references

deep-learning deep-neural-networks gradient-descent machine-learning research-paper

Last synced: 09 Aug 2024

https://github.com/marcogdepinto/python-for-data-analysis-and-machine-learning

This repo contains the projects made for the course of Jose Portilla on Udemy.

analysis data-analysis deep-neural-networks exercise ipynb jupyter-notebook machine-learning numpy pandas python scikit-learn seaborn

Last synced: 27 Sep 2024

https://github.com/avhirupc/semantic-image-completion

Implementation of : Semantic Image Inpainting with Perceptual and Contextual Losses Raymond

computer-vision deep-learning deep-neural-networks image-inpainting machine-learning python tensorflow-experiments

Last synced: 26 Sep 2024

https://github.com/SafeAILab/zkDL

zkDL, an open source toolkit for zero-knowledge proofs of deep learning powered by CUDA

cuda deep-neural-networks gpu-acceleration privacy-enhancing-technologies zero-knowledge-proof

Last synced: 02 Aug 2024

https://github.com/dmarnerides/dlt

Deep Learning Toolbox for Torch

deep-neural-networks hpc-facilities multi-gpu slurm-job toolbox torch

Last synced: 07 Aug 2024

https://github.com/liuruoze/HierNet-SC2

(AAAI'2019) The codes, models, logs, and data for an extended paper of the original paper "On Reinforcement Learning for Full-length Game of StarCraft". AAAI = AAAI Conference on Artificial Intelligence.

deep-learning deep-neural-networks deep-reinforcement-learning hierarchical-reinforcement-learning reinforcement-learning starcraft-ii starcraft2 starcraft2-agents starcraft2-ai

Last synced: 02 Aug 2024

https://github.com/robmarkcole/hass-machinebox-classificationbox

Home-Assistant image classification using Machinebox.io

computer-vision deep-neural-networks home-assistant home-automation machinebox

Last synced: 03 Oct 2024

https://github.com/boniolp/MSAD

[VLDB 2023] Model Selection for Anomaly Detection in Time Series

anomaly-detection anomalydetection benchmark convolutional-neural-networks dataset deep-learning deep-neural-networks feature-based machine-learning model-selection resnet time-series time-series-analysis time-series-classification timeseries transformer

Last synced: 31 Jul 2024

https://github.com/proycon/deepfrog

An NLP-suite powered by deep learning

deep-learning deep-neural-networks dutch folia frog nlp transformers

Last synced: 02 Oct 2024

https://github.com/rasbt/b3-basic-batchsize-benchmark

Experiments for the blog post "No, We Don't Have to Choose Batch Sizes As Powers Of 2"

deep-learning deep-neural-networks machine-learning neural-networks

Last synced: 03 Oct 2024

https://github.com/decisionfacts/semantic-ai

An open source framework for Retrieval-Augmented System (RAG) uses semantic search helps to retrieve the expected results and generate human readable conversational response with the help of LLM (Large Language Model).

approximate-nearest-neighbor-search deep-neural-networks document-parser docx fastapi inference-api llama2 llm machine-learning ocr openai openai-api pdf rag retrieval-augmented-generation semantic-search vector-database

Last synced: 27 Sep 2024

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: 03 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: 01 Aug 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: 03 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: 29 Sep 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: 03 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/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/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: 03 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: 02 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/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: 03 Oct 2024

https://github.com/warvito/normative-modelling-using-deep-autoencoders

Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer’s disease

autoencoder autoencoders deep-autoencoders deep-learning deep-neural-networks neuroimaging normative-modelling

Last synced: 03 Oct 2024

https://github.com/tanmoyio/gradman

Baby deep learning library🐣

autograd deep-learning deep-neural-networks

Last synced: 03 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: 01 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: 03 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/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: 26 Sep 2024

https://github.com/ma7555/nndpi

High performance deep packet inspection AI model using neural networks with an embedding layer, 1D Convolution layers and bidirectional gated recurrent unit.

deep-learning deep-neural-networks deep-packet-inspection keras-tensorflow network-security tensorflow tensorflow2

Last synced: 03 Oct 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: 27 Sep 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: 26 Sep 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: 03 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/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: 03 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/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: 05 Aug 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/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/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: 03 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: 03 Oct 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: 03 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: 03 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: 28 Sep 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: 03 Oct 2024

https://github.com/rabBit64/Sign-language-recognition-with-RNN-and-Mediapipe

deep-neural-networks gesture-recognition lstm rnn sign-language-translation

Last synced: 04 Aug 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/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: 01 Aug 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: 30 Sep 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: 26 Sep 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: 27 Sep 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: 29 Sep 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: 26 Sep 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: 01 Aug 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: 26 Sep 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: 30 Sep 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: 01 Aug 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: 27 Sep 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/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: 01 Aug 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: 03 Aug 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: 28 Sep 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: 30 Sep 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: 26 Sep 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/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: 26 Sep 2024

https://github.com/victorowinoke/cnn-image-classification-using-fashion-mnist-dataset

There's been much speculation in recent years about neural networks technologies and other deep learning algorithms, primarily because of the popularity of several implementations in the sector utilizing these techniques. Consequently, this hype has yielded several innovative ideas to build open-source libraries and methods to enable the average income tech-savvies to achieve their objective. This research paper aims to examine and illustrate how to use deep learning technologies and algorithms to precisely classify a dataset of fashion images into their respective clothing categories. First, the paper shows the general knowledge of convolutional neural networks (CNN) and the techniques of image classification. Later on, it also discusses the methodology of building a neural network and the simulation process. The results of the neural network simulation are compressively evaluated and discussed.

cnn-classification cnn-keras code deep-neural-networks fashion-classifier fashion-mnist-dataset image-classification python3 report tensorflow tensorflow-models

Last synced: 26 Sep 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: 01 Oct 2024

https://github.com/creativeguru97/machinelearning

Learn everything around ML

artificial-neural-networks deep-learning deep-neural-networks deeplearning hand handpose handtracking machinelearning neural-network oreilly oreilly-books pose-estimation posenet posetrack tensorflow tensorflow-experiments tensorflow-models tensorflowjs

Last synced: 28 Sep 2024

https://github.com/salamanderxing/mate

🧉 the ultimate deep learning project management and sharing tool

deep-learning deep-neural-networks deeplearning jax machine-learning project-template pytorch pytorch-lightning reproducibility research tensorflow

Last synced: 02 Oct 2024

https://github.com/justsecret123/human-pose-estimation

A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.

computer-vision deep-learning deep-neural-networks human-pose-estimation imageio ipython jupyter-notebook machine-learning matplotlib movenet movenet-lightning numpy opencv pose-estimation python tensorflow tensorflow-hub tutorial tutorials

Last synced: 28 Sep 2024

https://github.com/burakahmet/deeplearning.ai-tensorflow-developer-professional-certificate

Quizzes and assignment submissions for DeepLearning.AI TensorFlow Developer Professional Certificate program

artificial-neural-networks cnn computer-vision convolutional-neural-networks coursera deep-learning deep-neural-networks deeplearning image-classification image-processing keras learning-notes machine-learning natural-language-processing neural-network neural-networks recurrent-neural-networks rnn tensorflow tensorflow-tutorials

Last synced: 26 Sep 2024

https://github.com/martinuzzifrancesco/neuralbasisexpansions.jl

Julia (Flux) implementation of NBeats

deep-learning deep-neural-networks julia nbeats time-series timeseries timeseries-forecasting

Last synced: 02 Oct 2024

https://github.com/czgdp1807/ptrustintervalsood

Probabilistic Trust Intervals For Detecting Out of Distribution Images

aritificial-intelligence deep-learning deep-neural-networks image-classification out-of-distribution-detection

Last synced: 01 Oct 2024

https://github.com/antonior92/aliasing-in-cnns

How convolutional neural networks deal with aliasing

aliasing convolutional-neural-networks deep-learning deep-neural-networks signal-processing

Last synced: 01 Oct 2024

https://github.com/gerardocipriano/Cerberus-Dog-Breed-Classification-and-Body-Localization-PyTorch

Cerberus is a PyTorch-based project for classifying dog breeds and localizing specific body parts within images. Our model is capable of recognizing and classifying 3 dog breeds (Toy Poodle, Beagle, Siberian Husky) and localizing 3 specific body parts (eyes, nose, tail) within images.

deep-learning deep-neural-networks python pytorch yolo

Last synced: 01 Aug 2024

https://github.com/kyegomez/gated-slot-attention

An implementation of the paper: "Gated Slot Attention for Efficient Linear-Time Sequence Modeling" in PyTorch

ai attentions deep-neural-networks deeplearning machinelearnin ml pytorch tensorflow torch torchvision

Last synced: 01 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