sushant1827/Improvise-a-Jazz-Solo

Coursera - RNN Programming Assignment: In this project, we will implement a model that uses an LSTM to generate music. In the end, we'll even be able to listen to your own music!

Language: Jupyter Notebook - Size: 32.2 MB - Last synced at: 25 days ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 1

MohidulHaqueTushar/PyTorch-details

PyTorch detailed analysis to create Machine learning to Deep learning model

Language: Jupyter Notebook - Size: 190 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

the-lans/NeuroRepository

Фреймворк для построения нейронных сетей, комитетов, создания агентов с параллельными вычислениями.

Language: C++ - Size: 72.3 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 8

crosstherubicon/Implementation_of_Neural_Network

Implementing Neural Network on Irish data - evaluating accuracy, Mean Squared Error (MSE), Crossentropy and log-likelihood

Language: Python - Size: 2.12 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

Sid-stha7/CNN-CAT-VS-DOG-

Binary Classification of cat and dog class using CNN

Language: Jupyter Notebook - Size: 44.9 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

Jonas1312/mse-for-binary-classification

What Happens if We Use a Mean Squared Error Loss for Binary Classification?

Size: 288 KB - Last synced at: 10 days ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

0xN1nja/Spam-Ham-Classification-Using-TensorFlow-NLP

A Model To Predict That A Mail Is Spam Or Not. Achieved 100% Accuracy And 96.65% Validation Accuracy

Language: Jupyter Notebook - Size: 37.9 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

lilianchi/MINST-Recognition-with-vae

A repository with my course practice in MGMT590 Machine Learning at Krannert School of Management, Purdue University.

Language: Jupyter Notebook - Size: 933 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

hyliush/bert-classification

Relationship between news sentiment and china copper futures volatility. Main techs are Classification (Sentiment classification) by BERT,and News crossentropy by N-gram.

Language: Python - Size: 31.3 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

shanggangli/transformers

Language: Python - Size: 1.52 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0