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/lukaszbinden/spatial-broadcast-decoder

Spatial Broadcast Decoder Tensorflow Implementation

deep-neural-networks representation-learning tensorflow

Last synced: 25 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/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/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/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/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/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/vpanjeta/style-transfer

A deep learning model using keras to transfer the style of a texture or a famous painter to a base image

cnn-keras deep-learning deep-neural-networks deeplearning jupyter-notebook style-transfer

Last synced: 07 Nov 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/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/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/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/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/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/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/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/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/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/marcogdepinto/propagandadetection

Creating dataframes from Tweets.

deep-learning deep-neural-networks deeplearning nlp propaganda python

Last synced: 11 Oct 2024

https://github.com/liuruoze/betastar

(SSCAIT'2019) BetaStar is a StarCraft AI, written by a team at Nanjing University. It is written for StarCraft I. SSCAIT=Student StarCraft AI Tournament.

competition-code cplusplus deep-neural-networks machine-learning python scripted-agent starcraft starcraft-bot starcraft-broodwar supervised-learning

Last synced: 07 Nov 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/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/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

https://github.com/jeffreyksmithjr/onnxs

ONNX interop for Elixir

deep-learning deep-neural-networks elixir neural-network onnx

Last synced: 29 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/nico-curti/phdthesis

PhD thesis in Applied Physics

algorithms big-data-analytics deep-neural-networks feature-selection network-analysis optimization-methods parallel-computing

Last synced: 07 Nov 2024

https://github.com/rajspeaks/deep-learning-coursera-specialization-programming-assignments

Presenting all the solved programming assignments of Deep Learning Specialization by Deeplearning.ai (Andrew Ng)

convolutional-neural-networks coursera coursera-assignment coursera-specialization deep-learning deep-neural-networks deeplearning-ai jupyter-notebook neural-network python3 rajdeep-das rajspeaks reccurent-neural-network

Last synced: 30 Oct 2024

https://github.com/bobazooba/shurale

Conversation AI model for open domain dialogs

bitsandbytes cerebras chatgpt deep-learning deep-neural-networks gpt gpt-4 gptq large-language-models llama llama2 llm mistral natural-language-processing nlp openai pytorch torch transformers vicuna

Last synced: 27 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: 31 Oct 2024

https://github.com/aianytime/fishvision

FishVision built using Streamlit identifies the different species of Fishes in a given image. It is trained on "A Large Scale Fish Data" available on Kaggle using the pre-trained model "MobileNetV2".

data-science deep-learning deep-neural-networks heroku heroku-deployment machine-learning machine-learning-algorithms mobilenetv2 python python3 streamlit streamlit-webapp

Last synced: 07 Nov 2024

https://github.com/deepmancer/resnet-cifar-classification

A step-by-step implementation of a ResNet-18 model for image classification on the CIFAR-10 dataset

cifar cifar10 cifar10-classification deep-neural-networks from-scratch image-classification pytorch pytorch-implementation resnet resnet-18 step-by-step-guide

Last synced: 02 Nov 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: 20 Oct 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: 03 Nov 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: 12 Oct 2024

https://github.com/avidlearnerinprogress/advanced-machine-learning-labs

Coursework solutions to AML Labs

cnn deep-learning deep-neural-networks tensorflow

Last synced: 11 Oct 2024

https://github.com/kmario23/pytorch-padawan

Exercises, Descriptions, and Visualizations to build intuitions and confidence in working with PyTorch for accelerated Scientific Computing

data-analysis data-science data-visualization deep-learning deep-neural-networks distributed-computing gpu-computing jupyter machine-learning ndarray python python3 pytorch scientific-computing scientific-visualization tensor tensor-processing vectorization vectorized-computation visual-computing

Last synced: 06 Nov 2024

https://github.com/skalskip/yolov5js-zoo

Repository of pre-trained YOLOv5 models in tensorflow.js format

ai deep-learning deep-neural-networks javascript machine-learning tensorflowjs typescript yolo yolov5

Last synced: 27 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: 12 Oct 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: 20 Oct 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: 10 Oct 2024

https://github.com/mouralisandra/deeplearninglabs

A collection of Deep Learning labs for the INSAT Data Science course.

cnn deep-learning deep-neural-networks dnn embeddings fcnn glove nlp perceptron

Last synced: 27 Oct 2024

https://github.com/mohammedyunus009/dnn_acoustic_rec

A acoustic sound or environmental sound recogniser, uses deep neural networks to train on models

deep-learning deep-neural-networks extract-features keras sound sound-processing sound-synthesis soundcloud-api tensorflow

Last synced: 02 Nov 2024

https://github.com/ksasi/machine-learning-capstone-project

Machine Learning Capstone Project - Udacity MLND(State Farm Distracted Driver Detection)

cnn-classification computer-vision deep-learning deep-neural-networks keras keras-tensorflow machine-learning-capstone numpy python3 sklearn udacity-mlnd

Last synced: 15 Oct 2024

https://github.com/fork123aniket/text-generation

Implementation of Multi-Layer LSTMs for word-level language modelling in Tensorflow

deep-learning deep-neural-networks lstm lstm-model natural-language-processing nlp tensorflow-tutorials tensorflow2

Last synced: 03 Nov 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: 16 Oct 2024

https://github.com/wesleylp/dissertation

Dissertation for the degree of M. Sc. in Electrical Engineering.

aedes aedes-aegypti computer-vision deep-learning deep-neural-networks object-detection

Last synced: 29 Oct 2024

https://github.com/ac-alpha/vaes-using-pytorch

Variational Autoencoders trained on MNIST Dataset using PyTorch

deep-learning deep-neural-networks pytorch pytorch-cnn pytorch-implmention vae

Last synced: 12 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/miladsade96/diagtomodel

Implementations of Artificial Neural Networks Based on their Diagrams

artificial-intelligence cnn computer-vision convolutional-neural-networks deep-learning deep-neural-networks hacktoberfest2021 keras machine-learning models neural-network python tensorflow

Last synced: 11 Oct 2024

https://github.com/victorbadenas/SimpleOnnxInference

A simple c++ onnx application for inferencing images

convolutional-neural-networks deep-learning deep-neural-networks onnxruntime

Last synced: 27 Oct 2024

https://github.com/atapas/ml-greenroots

ml-greenroots is a Pet project to run ML in the Browser using various libraries and frameworks available. How about a ⭐️?

deep-neural-networks gatsby gatsbyjs machine-learning ml5js netlify react reactjs

Last synced: 14 Oct 2024

https://github.com/saransh-cpp/scenenet

Scenery detection using transfer learning. (Frontend)

dart deep-learning deep-neural-networks flutter transfer-learning

Last synced: 22 Oct 2024

https://github.com/blackcipher101/deeplearning

Deep learning notebooks for me by me

cnn-keras deep-neural-networks deeplearning jupyter-notebooks transfer-learning

Last synced: 27 Oct 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: 13 Oct 2024

https://github.com/jacobkahn/cis-700-project

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

Last synced: 14 Oct 2024

https://github.com/philipperemy/neural-probability-dist-sampler

Training a network to sample from any probability distributions such as exponential distribution.

deep-learning deep-neural-networks probability-distribution sampler statistics tensorflow

Last synced: 29 Oct 2024

https://github.com/naivehobo/numj

Multithreaded matrix handling library for Java

deep-learning deep-neural-networks deeplearning java machine-learning matrix matrix-calculations matrix-functions matrix-library matrix-multiplication multithreading neural-network neural-networks

Last synced: 29 Oct 2024

https://github.com/luca-parisi/hyper_sinh

hyper-sinh: An Accurate and Reliable Activation Function from Shallow to Deep Learning in TensorFlow, Keras, and PyTorch

activation-functions cnn cnn-classification cnn-keras cnn-model deep-learning deep-neural-networks keras keras-neural-networks keras-tensorflow machine-learning machinelearning-python pytorch sinh tensorflow tensorflow-models torch

Last synced: 10 Oct 2024

https://github.com/a-mhamdi/journey-into-ml

Showcase some machine learning algorithms.

deep-neural-networks julialang keras machine-learning-algorithms python rlang tensorflow

Last synced: 12 Oct 2024

https://github.com/hritik5102/chatbot-with-deep-learning

Deep learning chatbot

chatbot deep-neural-networks intents nltk python softmax tensorflow tflearn

Last synced: 24 Oct 2024

https://github.com/EliasVansteenkiste/plnt

A Python framework for classification of satellite imagery of the Amazon, built with Pytorch and Lasagne/Theano. The goal is to find deforestation activity.

classification deep-neural-networks kaggle lasagne python pytorch satellite-imagery

Last synced: 07 Nov 2024

https://github.com/camara94/convolutional-neural-networks

Implement the foundational layers of CNNs (pooling, convolutions) and stack them properly in a deep network to solve multi-class image classification problems.

cnn-keras deep-neural-networks keras tensorflow

Last synced: 05 Nov 2024

https://github.com/mishig25/adversarial-reprogramming-keras

Keras implementation of Adversarial Reprogramming of Neural Networks

deep-learning deep-neural-networks

Last synced: 27 Oct 2024

https://github.com/yoyololicon/building-nn-with-numpy

numpy lenet implementation.

convolutional-neural-networks deep-learning deep-neural-networks lenet-mnist mnist-classification numpy-tutorial scipy

Last synced: 06 Oct 2024

https://github.com/hackintoshrao/solving-physics-in-keras

Solving a physics problem using keras

deep-neural-networks keras keras-neural-networks neural-networks physics

Last synced: 26 Oct 2024

https://github.com/abidshafee/datascienceyoutubetutorials

This repository holding some python notebooks which I made to cast some of my practical data science projects on YouTube

cs cs-school data-science deep-learning deep-neural-networks machine-learning shafekul-abid video-tutorials youtube youtube-channel

Last synced: 11 Oct 2024

https://github.com/dilumdesilva/daugmentor

DAugmentor: Automating Generative Adversarial Network Tuning for Data Augmentation

data-generation deep-learning deep-neural-networks gan

Last synced: 14 Oct 2024

https://github.com/marcogdepinto/dogs-vs-cats

Deep learning to classify if a picture contains a Dog or a Cat using Python, OpenCV, Keras.

deep-learning deep-learning-tutorial deep-neural-networks image-classification keras numpy opencv python python3

Last synced: 11 Oct 2024

https://github.com/ahmedshahriar/sentiment-analysis

Sentiment Analysis Projects

adam-optimizer data-science-projects deep-learning deep-neural-networks dense densely-connected-networks jupyter-notebook long-short-term-memory lstm-model lstm-sentiment-analysis machine-learning matplotlib numpy pandas scikit-learn sentiment-analysis tensorflow tensorflow-hub tensorflow-models tensorflow-text

Last synced: 03 Nov 2024

https://github.com/yoyololicon/dl_hw1

back propogation

backpropagation classification deep-learning deep-neural-networks regression visualization

Last synced: 06 Oct 2024

https://github.com/yoyolicoris/dl_hw1

back propogation

backpropagation classification deep-learning deep-neural-networks regression visualization

Last synced: 28 Oct 2024

https://github.com/kumar-shridhar/mastersinmachinelearningonline

Online Content equivalent to Machine Learning Masters Degree at an University

ai deep-learning deep-learning-tutorial deep-neural-networks deeplearning graduate-course links machine-learning machine-learning-algorithms machinelearning masters-course masters-project masters-thesis mastersdegree neural-networks online

Last synced: 14 Oct 2024

https://github.com/narasimha1997/sento---online-sentiment-analysis-tool

Sento is a free online sentiment analysis tool .

deep-learning deep-neural-networks javascript natural-language-processing reactjs tensorflow-js webapp webpack

Last synced: 07 Nov 2024

https://github.com/justsecret123/twitter-sentiment-analysis

A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.

classification data-analysis data-science deep-learning deep-neural-networks docker glove-embeddings kaggle lstm lstm-neural-networks machine-learning natural-language-processing nlp python rnn scikit-learn sentiment-analysis sentiment-classification tensorflow word-embeddings

Last synced: 05 Nov 2024

https://github.com/lucasb-eyer/backprop.jl

Textbook implementation of backprop (from the Jacobian point of view) in Julia.

backpropagation backpropagation-learning-algorithm deep-learning deep-neural-networks exercise-solutions julia julia-language

Last synced: 05 Nov 2024

https://github.com/rakibhhridoy/ctscanpredictioncovid19-tensorflow

Classifying covid positive and negative cases in ct-scan images. Though the data is not large enough, it can be processed and make prediction from the model. Images are quite similar thus the task became much complicated.

computer-vision covid-19 ctscan deep-learning deep-neural-networks image-classification image-processing keras machine-learning medical-image-analysis neural-network prognosis python

Last synced: 06 Nov 2024

https://github.com/sevmardi/generative-adversarial-networks

Personal Experiments in different sorts of GANs

deep-learning deep-neural-networks gans generative-adversarial-network ml python3

Last synced: 06 Nov 2024

https://github.com/eren23/nn-architecture-examples

A small collection of basic neural networks for different tasks using pytorch.

deep-neural-networks neural-network neural-network-architectures neural-network-example neural-network-tutorials neural-networks neural-networks-from-scratch pytorch pytorch-implementation

Last synced: 15 Oct 2024

https://github.com/yoyolicoris/building-nn-with-numpy

numpy lenet implementation.

convolutional-neural-networks deep-learning deep-neural-networks lenet-mnist mnist-classification numpy-tutorial scipy

Last synced: 28 Oct 2024

https://github.com/louis030195/xmoto-gym

OpenAi's gym environment for Xmoto game - reinforcement learning research

artificial-intelligence deep-learning deep-neural-networks deeplearning machine-learning machinelearning python reinforcement-learning

Last synced: 06 Nov 2024

https://github.com/shashi456/deep-learning-research

Summaries of papers on Deep Learning, Natural Language Processing, Computer vision

artificial-intelligence computer-vision deep-learning deep-neural-networks hacktoberfest language-modeling machine-learning natural-language-processing neural-networks nlp research text-summarization

Last synced: 23 Oct 2024

https://github.com/mkashirin/scratches

Scratches is a project, which provides a comprehensive guide to creating deep learning models from scratch using Python and NumPy.

artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks from-scratch machine-learning machine-learning-algorithms numpy python

Last synced: 06 Nov 2024

https://github.com/jonperk318/machine-learning-analysis-of-hyperspectral-data

Using Non-negative Matrix Factorization (NMF) and Variational Autoencoder (VAE) machine learning architectures to analyze spatial and spectral features of hyperspectral cathodoluminescence (CL) spectroscopy images taken from hybrid inorganic-organic perovskite material

data-analysis data-science deep-neural-networks explained-variance hybrid-perovskite hyperspectral-image-classification machine-learning matplotlib nmf non-negative-matrix-factorization python pytorch scikit-learn semi-supervised-learning signal-processing solar-energy spectroscopy unsupervised-learning vae variational-autoencoder

Last synced: 06 Nov 2024

https://github.com/frankchen121212/RHSNet

Tensorflow and Keras implementation of RHSNet for recombination hotspot identification and quantification

computational-biology deep-neural-networks motif-discovery

Last synced: 08 Aug 2024

https://github.com/MartinKondor/positron

Blazingly fast deep learning library for Python.

ai algorithms artificial-intelligence deep-learning deep-neural-networks machinelearning math mathematics neural-network neural-networks

Last synced: 02 Nov 2024

https://github.com/masasron/deepnet

DeepNet is simple node based cli tool for creating machine learning classifiers you can use on the web.

classifier classifier-training deep-learning deep-neural-networks machine-learning nodejs

Last synced: 13 Oct 2024

https://github.com/arasgungore/models

Models and examples built with TensorFlow.

convolutional-neural-network convolutional-neural-networks deep-learning deep-neural-networks deeplearning machine-learning machinelearning model models research sota sota-model state-of-the-art state-of-the-art-models tensorboard tensorflow tensorflow-api tensorflow-examples tensorflow-models tensorflow2

Last synced: 26 Sep 2024

https://github.com/vtuanpham/srgan_reimplementation_modified

Re-Implementation of SRGAN with symmetric padding for a better merged final image (Anysized input with 4x upscaled)

deep-learning deep-neural-networks fft gan generative-adversarial-network image image-processing kivy kivy-application kivy-framework machine-learning srgan srgan-keras super-resolution upscaling

Last synced: 25 Sep 2024

https://github.com/tallamjr/dnn

Implementations of Deep Neural Networks in Tensorflow 2.x

deep-learning deep-neural-networks keras tensorflow tensorflow-examples tensorflow2

Last synced: 10 Oct 2024

https://github.com/hhhhhhao/papers

Reproduction of the interesting deep learning papers

convolutional-neural-networks deep-learning deep-neural-networks generative-adversarial-network machine-learning

Last synced: 29 Oct 2024

https://github.com/serhatderya/deep_learning

This repository contains my notes from Deep Learning With Tensorflow 2.0 from codebasics YouTube channel

ai artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks deeplearning jupyter jupyter-notebook keras keras-neural-networks keras-tensorflow keras-tutorials neural-network neural-networks pyhon3 python tensorflow tensorflow-models tensorflow-tutorials tensorflow2

Last synced: 12 Oct 2024

https://github.com/gitstar-oc/machine-learning

This are the Machine Learning notes by leading AI website named Deeplearning.AI. This notes will help you to be a machine learner from beginner to advanced level. Welcome Everyone!!

deep-learning deep-neural-networks jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn supervised-learning tensorflow unsupervised-learning

Last synced: 13 Oct 2024

https://github.com/jmaces/torch-adf

PyTorch implementation of Assumed Density Filtering (ADF) based probabilistic neural networks

deep-learning deep-neural-networks machine-learning probabilistic-models pytorch torch

Last synced: 20 Oct 2024

https://github.com/angelognazzo/Reliable-Trustworthy-AI

Repository for the Reliable and Trustworthy AI course offered in Fall 2022 at ETH Zürich: implementation of DeepPoly, Robustness Analyzer for Deep Neural Networks

computer-vision deep-learning deep-neural-networks reliable-ai robust-machine-learning

Last synced: 03 Aug 2024

https://github.com/ashkarin/ndpatch

Package to extract arbitrary regions from an N-dimensional numpy array assuming it mirrored infinitely.

array data-structures deep-neural-networks image-processing numpy patches region-of-interest

Last synced: 15 Oct 2024

https://github.com/andythefactory/fakenewsdataset

a consolidated and cleaned up fake news dataset classified in the following categories: reliable, unreliable, political, bias, fake, conspiracy, rumor clickbait, junk science, satire, hate

datasets deep-learning deep-neural-networks disinformation fake-news fake-news-analysis fake-news-articles fake-news-challenge fake-news-classification fake-news-dataset fake-news-detection misinformation

Last synced: 07 Nov 2024