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facebookresearch/video-nonlocal-net

A non-local neural network for video classification, primarily for AI and computer vision applications.

2.0K
Archived
Python
Computer Vision
PyTorch
#computer-vision#video-classification#neural-network

SciML/SciMLBook

A textbook on parallel computing and scientific machine learning methods and applications

2.0K
Active
HTML
Scientific Machine Learning
API Frameworks
#differential-equations#gpu-computing#neural-networks

ZiyaoGeng/RecLearn

A Python library for building recommender systems using popular deep learning techniques like DeepFM, NCF, and more.

2.0K
Archived
Python
Recommender Systems
API Frameworks
TensorFlow
#recommender-system#tensorflow#deep-learning

robertsdionne/neural-network-papers

A curated list of papers related to neural networks and machine learning, useful for AI and ML developers.

2.0K
Archived
JavaScript
LLM Frameworks
Tutorials & Courses
Node
#machine-learning#neural-networks#papers

haitongli/knowledge-distillation-pytorch

A PyTorch library for exploring deep and shallow knowledge distillation experiments with flexibility.

2.0K
Archived
Python
Computer Vision
Model Compression
PyTorch
#computer-vision#model-compression#knowledge-distillation

r9y9/deepvoice3_pytorch

A PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models.

2.0K
Archived
Python
Speech-to-Text
Speech-Synthesis
PyTorch
#speech-processing#text-to-speech#multi-speaker

uncertainty-toolbox/uncertainty-toolbox

A Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization.

2.0K
Experimental
Python
React
#uncertainty-calibration#visualizations#predictive-uncertainty

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

WenjieDu/PyPOTS

A Python toolkit for building machine/deep learning models on partially-observed time series data

2.0K
Active
Python
Machine Learning Ops
Databases
PyTorch
#time-series#anomaly-detection#forecasting

JavierAntoran/Bayesian-Neural-Networks

Pytorch implementations of various Bayesian neural network techniques for approximate inference and uncertainty quantification.

2.0K
Archived
Jupyter Notebook
ML Ops
Testing
PyTorch
#bayesian-inference#uncertainty-quantification#reproducible-research

rguthrie3/DeepLearningForNLPInPytorch

This is a tutorial on using deep learning for natural language processing with PyTorch.

2.0K
Archived
Jupyter Notebook
LLM Frameworks
Tutorials & Courses
PyTorch
#deep-learning#nlp#tutorial

youngfish42/Awesome-FL

Comprehensive collection of federated learning resources (papers, frameworks, datasets, tutorials, etc.)

2.0K
Stable
Python
LLM Frameworks
Databases
#federated-learning#machine-learning#artificial-intelligence

vsitzmann/siren

Official implementation of a library for representing functions using periodic activation functions

1.9K
Archived
Python
LLM Frameworks
Frontend Frameworks
PyTorch
#machine-learning#neural-networks#periodic-activation-functions

google/nerfies

This is an open-source library for training and rendering neural radiance fields (NeRFs) with deformable 3D scenes.

1.9K
Archived
Python
Neural Rendering
API Frameworks
Python
#3d-rendering#machine-learning#neural-networks

google/sling

SLING is a natural language frame semantics parser written in C++ that can be used for machine learning and natural language processing.

1.9K
Archived
C++
NLP
API Frameworks
#natural-language-processing#machine-learning#jit-compiler

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

facebookresearch/ResNeXt

This is an implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks.

1.9K
Archived
Lua
Computer Vision
AI SDKs & Wrappers
Lua
#deep-learning#computer-vision#classification

patrick-kidger/diffrax

Numerical differential equation solvers in JAX, with autodifferentiation and GPU support.

1.9K
Active
Python
ML Ops
Backend Frameworks
JAX
#differential-equations#dynamical-systems#neural-differential-equations

Tencent/NeuralNLP-NeuralClassifier

An open-source neural hierarchical multi-label text classification toolkit for AI and NLP applications.

1.9K
Stable
Python
LLM Frameworks
API Frameworks
Python
#machine-learning#natural-language-processing#text-classification
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