Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
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: 2025-01-16 00:07:31 UTC
- JSON Representation
https://github.com/alisiahkoohi/xonv
xonv: Extended convolutional layers
convolutional-neural-networks deep-learning deep-neural-networks
Last synced: 30 Oct 2024
https://github.com/tal7aouy/nlp-roadmap
Master NLP Roadmap ๐ฃ๏ธ
deep-learning deep-neural-networks machine-learning nlp nlp-parsing
Last synced: 29 Dec 2024
https://github.com/amirjahantab/deep-ml-solutions
ML Code Challenges
ai algorithms backpropagation data-science deep-learning-algorithms deep-neural-networks linear-algebra machine-learning machine-learning-algorithms mathematics matrix numpy pca python
Last synced: 11 Jan 2025
https://github.com/ammahmoudi/fluxomic-prediction
Applying implicit deep learning and convex optimization layers to infer metabolic fluxes from gene expression data
bioinformatics deep-neural-networks fluxomics ml optimization transcriptomics
Last synced: 15 Jan 2025
https://github.com/ammahmoudi/covid-19-autoencoder
Using Autoencoder in keras as a nonlinear dimensionality reduction method to encode COVID-19 patients data
autoencoder covid-19 deep-learning deep-neural-networks dimension-reduction keras-tensorflow machine-learning ml
Last synced: 15 Jan 2025
https://github.com/rssr25/machine-learning
All the machine learning stuff that I do will be here. Mainly python programs.
andrew-ng-course coursera deep-learning deep-neural-networks deeplearning-ai machine-learning neural-network resnet yolo
Last synced: 24 Dec 2024
https://github.com/frgfm/pytorch-mnist
Implementation of various basic architectures (training on MNIST, Visdom visualization)
computer-vision deep-learning deep-neural-networks lenet mnist python3 pytorch pytorch-cnn visdom
Last synced: 29 Dec 2024
https://github.com/sonu275981/transfer-learning-methods
Transfer-learning-Methods
convolutional-neural-networks deep-neural-networks neural-networks transfer-learning
Last synced: 24 Dec 2024
https://github.com/sonu275981/social_network_ads
Artificial neural networks Model for predicting the key audiences to show ads in a social network.
ads artificial-neural-networks deep-neural-networks python3
Last synced: 24 Dec 2024
https://github.com/sonu275981/handwritten-digit-recognition-mnist
This is a machine learning model that classifies digits from 0-9 from handwritten digits.
deep-neural-networks keras mnist-classification mnist-handwriting-recognition opencv python tensorflow
Last synced: 24 Dec 2024
https://github.com/sonu275981/movie-recommender-system
Movie-Recommender-System hosted on https://movies275.herokuapp.com/ also on https://share.streamlit.io/sonu275981/movie-recommender-system/main/app.py
content-based-recommendation cosine-similarity deep-neural-networks movie-recommendation nlp-machine-learning recommender-system sentiments-analysis tensorflow tmdb-api vectorization
Last synced: 24 Dec 2024
https://github.com/sonu275981/face-mask-detector
Face Mask Detection system based on computer vision and deep learning using OpenCV and TensorFlow/Keras
cnn-keras computer-vision convolutional-neural-networks covid-19 deep-learning deep-neural-networks face-mask-detection face-mask-detector opencv python
Last synced: 24 Dec 2024
https://github.com/sonu275981/diabetes_by-using-keras-hyperparameter
A simple neural network using Keras-hyperparameter and Python to solve a binary classification problem to detect an onset of diabetes.
deep-neural-networks diabetes-prediction hyperparameter-tuning keras-tensorflow pyhton3
Last synced: 24 Dec 2024
https://github.com/armanjscript/advanced-guide-to-ai
All of things you want to know about ML and Deep Learning
artificial-intelligence artificial-intelligence-algorithms artificial-neural-networks deep-neural-networks deeplearning machine-learning machine-learning-algorithms
Last synced: 18 Dec 2024
https://github.com/sanikamal/computer-vision-cv2
Learn Computer Vision with OpenCV and Python
ai computer-vision deep-learning deep-neural-networks image-processing image-recognition image-segmentation machine-learning opencv opencv-library opencv-python video-processing
Last synced: 10 Jan 2025
https://github.com/nass59/dlnd_face_generation
Face generation using generative adversarial networks to generate new images
celeba cnns deep-learning deep-neural-networks face-generation gpu mnist python tensorflow udacity-deep-learning udacity-nanodegree
Last synced: 18 Dec 2024
https://github.com/amdjadouxx/chatbotai
implementing a chatbot with tensorflow in python
deep-learning deep-neural-networks ia natural-language-processing python3
Last synced: 23 Nov 2024
https://github.com/denpalrius/football_analysis
Football match analysis using YOLO v8 and OpenCV
ai cnn computer-vision deep-neural-networks ml opencv yolo
Last synced: 10 Jan 2025
https://github.com/vatshayan/research-papers-
Research papers as blue prints, drafts, pre prints and published papers
artificial-intelligence big-data blockchain blockchain-technology data-analysis data-mining data-science data-visualization deep-learning deep-neural-networks image-classification image-manipulation image-processing machine-learning machine-learning-algorithms machine-learning-library python supervised-learning unsupervised-machine-learning webdevelopment
Last synced: 15 Jan 2025
https://github.com/berndporr/deep-learning-analytics
The core deep learning math
deep-learning deep-neural-networks
Last synced: 08 Jan 2025
https://github.com/alandoescs/ml-reading-group
The GitHub Page of the Bavarian International School Machine Learning Reading Group
deep-learning deep-neural-networks machine-learning neural-networks reading-list
Last synced: 29 Dec 2024
https://github.com/loaiabdalslam/s5nn.js
Neural Network Visualization Library Using Graph Rendering ( Sigma.js )
deep-learning deep-neural-networks machine-learning visualization
Last synced: 24 Dec 2024
https://github.com/rsn601kri/quantum_reservoir_modeling
Quantum Reservoir Computing (QRC) algorithm to address credit risk modeling use any quantum software development kit (SDK) or quantum processing unit (QPU).
deep-neural-networks python quantum-computing random-generation reservoir-computing
Last synced: 27 Dec 2024
https://github.com/alyssonmach/deploy-to-heroku-app
An interactive application to ... identify ๐ฑ in images (neural network of l-layers).
classification-model deep-neural-networks heroku-deployment python streamlit
Last synced: 24 Dec 2024
https://github.com/kaocc/nerf_2d
Experiments of 2D NeRF (Neural Radiance Fields)
Last synced: 14 Jan 2025
https://github.com/ggldnl/vision-and-perception
Material from the Vision and Perception course
camera-calibration computer-vision deep-neural-networks epipolar-geometry image-filtering image-processing structure-from-motion university
Last synced: 14 Jan 2025
https://github.com/avidlearnerinprogress/neuralnetworksanddeeplearning
Programming assignments of the course
andrew-ng deep-learning deep-neural-networks python
Last synced: 14 Jan 2025
https://github.com/donggeunyu/deep-learning-examples
Deep Learning์ ์ฌ๋ฌ ์์ ๋ฅผ ์ ๋ฆฌํ ๊ฒ!
deep-learning deep-learning-tutorial deep-neural-networks deeplearning python
Last synced: 16 Jan 2025
https://github.com/apozzi/convnetjs-extras
Builds on the core functionalities of convnetjs by adding more features and utilities that enhance the capabilities of neural network development and experimentation.
activation-functions convnetjs deep-learning deep-neural-networks loss-functions
Last synced: 29 Nov 2024
https://github.com/athari22/tv-script-generation
In this project, I generated Seinfeld TV scripts using RNNs.This project is part of udacity deep learning nanodegree program. The Neural Network will generate a new, "fake" TV script, based on patterns it recognizes in this training data.
deep-learning deep-neural-networks machine-learning neural-network python pytorch rnn rnn-encoder-decoder rnn-model rnn-pytorch
Last synced: 30 Dec 2024
https://github.com/ahmad-ali-rafique/yolo-helmet-detection-app
This project implements a helmet detection system using YOLOv3 (You Only Look Once) and Streamlit. The application allows users to upload an image and detect helmets in real-time. The system uses OpenCV and pre-trained YOLOv3 weights to identify helmets in uploaded images, displaying the results with bounding boxes and confidence scores.
artificial-intelligence datascience deep-neural-networks helmet-detection image-processing machine-learning modeling opencv streamlit-dashboard yolov3
Last synced: 16 Jan 2025
https://github.com/lnsp/ml-notebooks
A collection of machine learning notebooks created for learning purposes.
deep-learning deep-neural-networks machine-learning machine-learning-algorithms reinforcement-learning sklearn tensorflow
Last synced: 19 Dec 2024
https://github.com/saadarazzaq/custom-neural-networks
Perceptron, Multiclass and Deep Neural Network Implemented All in One Repo โจ
deep-neural-networks keras numpy perceptron python scikit-learn tensorflow
Last synced: 23 Nov 2024
https://github.com/piero24/vanillanet-cpp
A fully connected Neural Network in C++ with SGD from scratch, achieving 98% accuracy on the MNIST dataset.
backpropagation cmake cpp deep-learning deep-neural-networks loss-functions neural-network neural-networks-from-scratch opencv softmax
Last synced: 19 Dec 2024
https://github.com/athari22/sentiment-analysis-web-app
In this project, I created a Sentiment Analysis Web App using PyTorch and SageMaker. This project is part of the deep learning nanodegree program at udacity. Project Overview In this project, I constructed a recurrent neural network for the purpose of determining the sentiment of a movie review using the IMDB data set. Used Amazon's SageMaker service. In addition, created a simple web app that will interact with the deployed model.
amazon amazon-web-services deep-learning deep-neural-networks machine-learning neural-network python pytorch sagemaker sentiment-analysis
Last synced: 30 Dec 2024
https://github.com/kevinam99/ml-internship-training
Repo containing all the codes and resources from the workshop
artificial-intelligence convolutional-neural-networks deep-neural-networks machine-learning machine-learning-algorithms neural-networks opencv-python recurrent-neural-networks
Last synced: 12 Jan 2025
https://github.com/chaitanyak77/optimal-detection-of-diabetic-retinopathy-severity-using-attention-based-cnn-and-vision-transformers
This repository contains the implementation of a hybrid model combining Attention-Based Convolutional Neural Networks (CNNs) and Vision Transformers (ViT) to classify the severity levels of diabetic retinopathy.
cnn-classification deep-neural-networks diabetic-retinopathy-detection image-processing transformers vision-transformer
Last synced: 15 Nov 2024
https://github.com/erfanzar/cnn-custom-object-detection
a custom object detection with cnn and residual blocks and ready to train with at least 100 classes
artificial-intelligence artificial-intelligence-algorithms artificial-neural-networks deep-learning deep-neural-networks deeplearning-ai object-detection python
Last synced: 28 Dec 2024
https://github.com/rociobenitez/deeplearning-airbnb-price-prediction
Deep Learning project for Airbnb price prediction, featuring data preprocessing and neural network models in Google Colab.
airbnb-data airbnb-pricing-prediction convolutional-neural-networks deep-learning deep-learning-algorithms deep-neural-networks keras keras-neural-networks keras-tensorflow
Last synced: 23 Nov 2024
https://github.com/stevenrice99/facial-expression-recognition
Kaggle Challenges in Representation Learning: Facial Expression Recognition Challenge
ai artificial-intelligence classification convolutional-neural-networks deep-learning deep-neural-networks face-recognition facial-recognition kaggle machine-learning ml neural-network neural-networks python python3 pytorch resnet resnet-18 torch torchvision
Last synced: 15 Nov 2024
https://github.com/stevenrice99/wall-following-robot-navigation
Wall-Following Robot Navigation
ai artificial-intelligence batch-normalization classification deep-learning deep-neural-networks dropout dropout-layers machine-learning ml neural-network neural-networks pandas python python3 pytorch sklearn torch uc-irvine uc-irvine-dataset
Last synced: 15 Nov 2024
https://github.com/ahmad-ali-rafique/usa-house_price-predict
A Streamlit application for predicting house prices in the USA using a linear regression model.
artificial-intelligence data-science deep-neural-networks house house-price-prediction linear-regression machine-learning modeling neural-networks price-prediction regression-models streamlit usa
Last synced: 21 Dec 2024
https://github.com/zakircodearchitect/flight-intent-classifier
This project uses a Bidirectional LSTM model to classify flight-related queries into 8 intents. Trained on the ATIS dataset, it achieved 97% test accuracy and is ideal for travel-related chatbots.
atis-dataset deep-neural-networks intent-classification neural-network
Last synced: 29 Dec 2024
https://github.com/albertopirillo/anndl-challenges-2023
Collection of two projects applying Deep Neural Networks on real-world problems. The first one with CNNs for image recognition and the other with RNNs and 1D-CNNs for timeseries forecasting.
deep-neural-networks image-recognition timeseries-forecasting
Last synced: 01 Jan 2025
https://github.com/nithin-sudarsan/handwritten-digit-recognizer
A Convolutional Neural Networks model used to recognize handwritten numbers.
cnn-classification deep-learning deep-neural-networks digit-recognition handwritten-digit-recognition machine-learning neural-network
Last synced: 25 Dec 2024
https://github.com/parth-shastri/neural_nets_tensorflow
Just a small set of projects from a student who loves to play with Deep-learning!
deep-learning deep-neural-networks learning neural-networks python3 tensorflow-examples tensorflow-tutorials tensorflow2
Last synced: 21 Dec 2024
https://github.com/techshot25/keplerdata
This checks out data provided by the Kepler space telescope to study exoplanets.
artificial-neural-networks decision-tree-algorithm deep-neural-networks k-nearest-neighbors machine-learning matplotlib multi-layer-perceptron neural-network random-undersampling statistics support-vector-machines
Last synced: 07 Jan 2025
https://github.com/ondrejbiza/drl_gym
Deep Reinforcement Learning gym.
deep-neural-networks deep-reinforcement-learning openai-gym reinforcement-agents reinforcement-learning tensorflow tensorflow-experiments
Last synced: 08 Jan 2025
https://github.com/abidmuin/tensorflow-in-practice-specialization
TensorFlow in Practice Specialization
artificial-intelligence cnn-keras computer-vision deep-neural-networks keras-classification-models keras-implementations keras-models keras-neural-networks keras-tensorflow keras-visualization lstm machine-learning-coursera nlp prediction rnn-tensorflow seasonality tensorflow-models tensorflow-tutorials time-series-analysis trend-analysis
Last synced: 21 Dec 2024
https://github.com/hackintoshrao/blog-posts
Markdown of my blog posts at medium.com/@hackintoshrao and hackintoshrao.com
artificial-intelligence deep-learning deep-neural-networks technical-writing
Last synced: 12 Jan 2025
https://github.com/d-kleine/deep-learning
Udacity Deep Learning Nanodegree notes and project solutions
deep-learning deep-neural-networks
Last synced: 01 Jan 2025
https://github.com/sevmardi/ml-projects
ML projects
airline datascience deep-neural-networks machine-learning ml prediction predictive-modeling
Last synced: 25 Dec 2024
https://github.com/shivamgupta92/sih1477_project_smartindiahackathon
Deploying human soldiers in hazardous environments comes with significant risks, including injuries, fatalities, and potential loss of critical military intelligence due to human errors.
deep-neural-networks figma fusion-360 html-css-javascript lidar raspberry-pi
Last synced: 11 Jan 2025
https://github.com/bilalhameed248/nlp-fake-news-classification
Fake News Classification using Naive Bayes, Passive-Aggressive (PA) Classifier and Artificia Neural Network (ANN)
artificial-neural-networks deep-learning deep-neural-networks embeddings machine-learning naive-bayes-classifier nlp nlp-basic passive-aggressive-classifier
Last synced: 16 Jan 2025
https://github.com/rakibhhridoy/neuralstyletransfer-tensorflow
One of the curious outcome of data science revolution is neural style transfer where nst algorithm merge two images, content and style, creating a artistic image of content image. Here TensorFlow is used to process images and lastly used nst algorithm.
deep-learning deep-neural-networks machine-learning neural-style-transfer neuralstyletransfer nst python tensorflow
Last synced: 25 Dec 2024
https://github.com/zsxoff/deep-learning-brain-segmentation
Brain segmentation for the 2D images using convolutional neural network
brain convolutional-networks convolutional-neural-networks deep-learning deep-neural-networks segmentation tensorflow
Last synced: 15 Nov 2024
https://github.com/parrondo/tutorial-lstm
Tutorial-LSTM: Project for testing LSTM time series forecasting. See notebooks for complete information
deep-learning deep-learning-tutorial deep-neural-networks lstm lstm-networks lstm-neural-network
Last synced: 01 Jan 2025
https://github.com/huseyincenik/deep_learning
Deep Learning #deeplearning
deep-learning deep-learning-tutorial deep-neural-networks keras keras-neural-networks keras-tensorflow tensorflow tensorflow-tutorials
Last synced: 21 Dec 2024
https://github.com/bilalhameed248/patient-most-recent-treatments-similarity-measuring
BioBert Enhanced Patient Treatment Similarity Analysis with Sentence Transformers
bert bert-fine-tuning bert-model biobert data-extraction data-preprocessing data-science deep-learning deep-neural-networks dnn python pytorch sentence-embeddings sentence-similarity sentence-transformers sentiment-analysis transformer
Last synced: 16 Jan 2025
https://github.com/shrikantnaidu/transfer-learning-for-nlp-with-tensorflow-hub
Transfer Learning in TensorFlow.
deep-neural-networks natural-language-processing tensorflow tensorflow-hub tranfer-learning
Last synced: 10 Jan 2025
https://github.com/shrikantnaidu/dog-breed-classifier
Dog Breed Classifier
convolutional-neural-networks deep-neural-networks image-classification
Last synced: 10 Jan 2025
https://github.com/bilalhameed248/delay-reason-extraction-model
Efficient Delay Reason Extraction in Patient Appointments/Treatments Using BERT and Tensorflow. - Feb 2022 - Jun 2023
bert bert-fine-tuning bert-model biobert data-extraction data-preprocessing data-science deep-learning deep-neural-networks dnn pytorch semantic-analysis sentence-embeddings tensorflow transformer
Last synced: 16 Jan 2025
https://github.com/bilalhameed248/whisper-fine-tuning-for-pronunciation-learning
Fine Tuning of Whisper Speech To Text Base Model For Pronunciation Learning
deep-learning deep-neural-networks dnn fine-tuning openai pronunciation python seq2seq speech speech-recognition speech-synthesis speech-to-text whisper whisper-ai
Last synced: 16 Jan 2025
https://github.com/bilalhameed248/diagnosis-effecting-patients-recovery-detection
A DNN Based Diagnosis Impact Detection Model. - Feb 2022 - Jun 2023
bert classification data-science datapipeline datapreprocessing deep-neural-networks dnn fine-tuning healthcare physiotherapy python transformer
Last synced: 16 Jan 2025
https://github.com/harshuljain13/dogsbreedclassification
Classifying the dogs breed using transfer learning in DeepLearning
deep-learning deep-neural-networks inceptionv3 keras tensorflow transfer-learning
Last synced: 30 Dec 2024
https://github.com/qasimwani/dqn-openai
Using DQN (Deep Q Network) to develop a DRL (Deep Reinforcement Learning) agent to solve LunarLander environment in OpenAI gym.
deep-neural-networks dqn keras-tensorflow openai-gym reinforcement-learning
Last synced: 27 Dec 2024
https://github.com/guoquan/dlexp
Scaffold codes for feedforward neural network and autoencoders.
deep-learning deep-neural-networks matlab
Last synced: 02 Jan 2025
https://github.com/guoquan/dlexp2
A framework for more flexible structure of neural networks with auto-differentiation.
auto-differentiation deep-learning deep-neural-networks matlab
Last synced: 02 Jan 2025
https://github.com/winter000boy/music-recommendation
This project implements a content-based recommendation system that analyzes song lyrics to find similar songs. It uses TF-IDF vectorization and cosine similarity to measure the semantic similarity between songs.
artificial-intelligence deep-neural-networks flask-application machine-learning neural-network python3 reinforcement-learning
Last synced: 26 Dec 2024
https://github.com/pmuens/tdf
TDF - Tensor Data Format
artificial-intelligence deep-learning deep-neural-networks deep-reinforcement-learning neural-network
Last synced: 26 Dec 2024
https://github.com/ahmdtaha/tf_learning_to_count
(ICCV2017) Tensorflow implementation of Representation Learning by Learning to Count
computer-vision deep-learning deep-neural-networks machine-learning nvidia-dali self-supervised-learning tensorflow tensorpack unsupervised-learning
Last synced: 26 Dec 2024
https://github.com/andreasmazur/improvedgnnexplanations
Improve Zorro exlanations for graph neural networks.
deep-learning deep-neural-networks explainability explainable-ai explainable-artificial-intelligence explainable-ml neural-networks
Last synced: 12 Jan 2025
https://github.com/bilalhameed248/rice-leaf-diseases-classification-using-pytorch
Pytorch Based Rice Leaf Diseases Classification. - Personal Project
custom-model-development data-augmentation data-pipeline data-science deep-neural-networks image-classification machine-learning python pytorch
Last synced: 16 Jan 2025
https://github.com/cooldragon12/solana-forecasting-using-lstm
A time series forecasting analysis using LSTM for the Solana Price
deep-neural-networks lstm lstm-model machine-learning
Last synced: 07 Jan 2025
https://github.com/khareyash05/breast-cancer-classification-using-deep-neural-network
Breast Cancer Classification using Deep Neural Networks
breastcancer-classification deep-neural-networks pytorch
Last synced: 11 Jan 2025
https://github.com/perpendicularai/imageclassification
A deep-learning notebook to detect real or fake faces. Now comes with it's own PyPI module.
convolutional-neural-networks deep-learning deep-neural-networks image-classification
Last synced: 02 Jan 2025
https://github.com/sharmas1ddharth/space-rocks-classification-using-pytorch
Classify types of space rocks in random photos by using Pytorch
classification classify-space-rocks deep-learning deep-neural-networks python pytorch torch torchvision
Last synced: 11 Jan 2025
https://github.com/aaditya29/first-neural-network
Jupyter Notebook predicting the House Prices
deep-learning deep-learning-algorithms deep-neural-networks jupyter-notebook machine-learning machine-learning-algorithms neural-network neural-networks
Last synced: 14 Dec 2024
https://github.com/ofir-frd/cats-vs-dogs-deep-learning
deep-learning deep-neural-networks dogs-vs-cats mobilenet vgg16
Last synced: 11 Jan 2025
https://github.com/justanhduc/cyclegan
A Theano implementation of Cycle GAN
deep-learning deep-neural-networks gan generative-adversarial-network python theano
Last synced: 02 Jan 2025
https://github.com/justanhduc/lsgan
A replication of Least Square GAN
deep-learning deep-neural-networks generative-adversarial-network theano
Last synced: 02 Jan 2025
https://github.com/papapana/sagemaker-sentiment-analysis
Sentiment Analysis with LSTMs deployed in Amazon Sagemaker
aws aws-lambda deep-learning deep-neural-networks lstm sagemaker sentiment-analysis
Last synced: 13 Jan 2025
https://github.com/justanhduc/sngan
A Theano implementation of Spectral Normalized GAN
deep-learning deep-neural-networks gan theano
Last synced: 02 Jan 2025
https://github.com/dansolombrino/creactive
A set of experiments on Deep Neural Networks activation functions
activation-functions deep-learning deep-neural-networks nonlinear-optimization
Last synced: 14 Dec 2024
https://github.com/justdvnsh/research-summarizer
A research paper summariezer app
app deep-learning deep-neural-networks encoder-decoder gru lstm machine-learning machine-learning-algorithms research rnn rnn-tensorflow seq2seq summarizer webapp
Last synced: 14 Dec 2024
https://github.com/justanhduc/improved-wgan
A Theano implementation of Improved WGAN
deep-learning deep-neural-networks gan
Last synced: 02 Jan 2025
https://github.com/justdvnsh/dbot
My chatbot
chatbot dbot decoder deep-learning deep-neural-networks encoder encoder-decoder-model gru lstm machine-learning machine-learning-algorithms rnn rnn-tensorflow seq2seq
Last synced: 14 Dec 2024
https://github.com/a-yush/keras-databases
Implemented various deep learning problems of supervised learning using keras with tensorflow as backend .
computer-vision deep-neural-networks keras keras-implementations python3 supervised-machine-learning
Last synced: 26 Dec 2024
https://github.com/privatepeople/machinelearning-deeplearning
๋จธ์ ๋ฌ๋๊ณผ ๋ฅ๋ฌ๋ ๊ณต๋ถ๋ฅผ ์ํ ์ ์ฅ์
deep-learning deep-neural-networks deeplearning dl machine-learning machinelearning ml numpy pandas python scipy tensorflow
Last synced: 15 Jan 2025
https://github.com/rahulbhoyar1995/coursera-ml-specialisation-certification
Explore my journey through the Coursera Machine Learning Specialization with this repository. Access practice materials, code implementations, and learning notes to enhance your understanding of machine learning concepts.
deep-learning deep-neural-networks machine-learning machine-learning-algorithms python3 reinforcement-learning-algorithms supervised-learning unsupervised-learning
Last synced: 15 Jan 2025
https://github.com/rahulbhoyar1995/ner-case-study
This repositiry contains the code for Case study of "Named-Entity Recognition" in Natural Language Processing.
deep-neural-networks natural-language-processing ner
Last synced: 15 Jan 2025
https://github.com/dansolombrino/biscuits
A set of experiments inspired by the paper "Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs" by Jonathan Frankle, David J. Schwab, Ari S. Morcos
batchnorm cnn cnns convolutional-neural-networks deep-learning deep-neural-networks resnet resnets
Last synced: 14 Dec 2024