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jisungk/deepjazz

Deep learning driven jazz generation using Keras and Theano

2.9K
Experimental
Python
LLM Frameworks
Music Generation
Keras
#deep-learning#neural-networks#lstm

jcjohnson/torch-rnn

An efficient and reusable library for building RNNs and LSTMs in the Torch framework.

2.6K
Archived
Lua
LLM Frameworks
#rnn#lstm#neural-networks

github/CodeSearchNet

CodeSearchNet provides datasets, tools, and benchmarks for representation learning of code, enabling AI-powered code discovery.

2.4K
Archived
Jupyter Notebook
Machine Learning on Source Code
Datasets
Jupyter Notebook
#machine-learning#nlp#data-science

mravanelli/pytorch-kaldi

A PyTorch-based project for developing state-of-the-art speech recognition systems using the Kaldi toolkit.

2.4K
Archived
Python
Speech Recognition
API Frameworks
PyTorch
#speech-recognition#deep-learning#kaldi

golbin/TensorFlow-Tutorials

A collection of TensorFlow tutorial code examples for learning deep learning from beginner to advanced.

2.1K
Archived
Python
LLM Frameworks
Tutorials & Courses
TensorFlow
#deep-learning#neural-network#tensorflow

lilianweng/stock-rnn

Predicts stock market prices using a recurrent neural network (RNN) model with multilayer LSTM cells.

2.0K
Archived
Python
TensorFlow
#stock-price-prediction#rnn#lstm

alrojo/tensorflow-tutorial

Practical tutorials and labs for TensorFlow, covering popular neural network architectures like CNN, RNN, and more.

2.0K
Archived
Jupyter Notebook
ML Ops
Tutorials & Courses
Jupyter Notebook
#tensorflow#deep-learning#neural-networks

danieldjohnson/biaxial-rnn-music-composition

A recurrent neural network designed to generate classical music, focused on AI-powered music composition.

1.9K
Archived
Python
LLM Frameworks
Music Composition
Python
#music-generation#neural-networks#deep-learning

jiesutd/NCRFpp

NCRF++: A Neural Sequence Labeling Toolkit for tasks like NER, POS tagging, and text chunking.

1.9K
Archived
Python
Agents & Orchestration
Named Entity Recognition
PyTorch
#neural-networks#sequence-labeling#chunking

Arturus/kaggle-web-traffic

A Kaggle competition solution for predicting web traffic using RNNs and time series analysis.

1.9K
Archived
Jupyter Notebook
Time Series
Databases
Jupyter Notebook
#time-series#rnn#seq2seq

microsoft/EdgeML

A collection of machine learning algorithms for edge devices developed by Microsoft Research India.

1.7K
Archived
C++
ML Ops
API Frameworks
PyTorch
#edge-computing#machine-learning-algorithms#microsoft-research

jasonwei20/eda_nlp

Data augmentation for NLP using CNN and RNN, presented at EMNLP 2019

1.6K
Archived
Python
Python
#data-augmentation#nlp#text-classification

google/uis-rnn

A library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, for supervised speaker diarization.

1.6K
Archived
Python
LLM Frameworks
API Frameworks
Python
#clustering#machine-learning#speaker-diarization

nivu/ai_all_resources

A curated list of best AI resources for developers, including tutorials, libraries, and tools.

1.4K
Experimental
Jupyter Notebook
AI SDKs & Wrappers
Tutorials & Courses
#artificial-intelligence#machine-learning#data-science

dvgodoy/PyTorchStepByStep

Official repository of a book on deep learning with PyTorch, a popular machine learning framework.

1.4K
Experimental
Jupyter Notebook
LLM Frameworks
Tutorials & Courses
PyTorch
#deep-learning#pytorch#computer-vision

MemorialCheng/deep-learning-from-scratch

This repository provides open-source code and educational resources for learning deep learning and machine learning with Python.

1.3K
Archived
Jupyter Notebook
Machine Learning
Tutorials & Courses
Jupyter Notebook
#deep-learning#machine-learning#sklearn

hurshd0/must-read-papers-for-ml

A curated collection of must-read papers for Data Science, Machine Learning, and Deep Learning enthusiasts

1.3K
Archived
Papers
#machine-learning#deep-learning#data-science

omarsar/nlp_overview

Overview of modern deep learning techniques applied to natural language processing

1.3K
Archived
CSS
NLP
Tutorials & Courses
#nlp#deep-learning#word-embeddings

chickenbestlover/RNN-Time-series-Anomaly-Detection

A Pytorch-based RNN model for anomaly detection in time-series data.

1.3K
Archived
Python
Forecast
Prediction
PyTorch
#anomaly-detection#time-series#rnn

hunkim/word-rnn-tensorflow

A library for building multi-layer recurrent neural networks (RNNs) for word-level language models in Python using TensorFlow.

1.3K
Archived
Python
LLM Frameworks
API Frameworks
TensorFlow
#lstm#rnn#tensorflow
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