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albermax/innvestigate

A Python toolbox to investigate neural networks' predictions and understand model behavior.

1.3K
Experimental
Python
Interpretation & Explainability
#machine-learning#neural-networks#interpretability

huawei-noah/Efficient-Computing

Efficient computing methods developed by Huawei Noah's Ark Lab for model compression and optimization.

1.3K
Archived
Jupyter Notebook
Model Compression
Quantization
#model-compression#quantization#pruning

IDSIA/brainstorm

A fast, flexible, and fun neural networks library for Python developers working with AI tools.

1.3K
Archived
Python
LLM Frameworks
CLI Tools
Python
#neural-networks#deep-learning#machine-learning

digantamisra98/Mish

Official repository for the Mish activation function, a novel neural network activation function.

1.3K
Active
Jupyter Notebook
Computer Vision
Mathematics
#activation-functions#computer-vision#deep-learning

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

tysam-code/hlb-CIFAR10

Fast CIFAR-10 training to state-of-the-art accuracy using PyTorch and a specialized CNN architecture.

1.3K
Archived
Python
Computer Vision
ML Ops
PyTorch
#cifar10#deep-learning#neural-network

leehomyc/Faster-High-Res-Neural-Inpainting

High-performance neural inpainting library for filling in missing regions in high-resolution images.

1.3K
Archived
Lua
Computer Vision
Papers & Research
Lua
#deep-learning#image-processing#computer-vision

ARM-software/armnn

A C++ library for running machine learning models on Arm hardware accelerators.

1.3K
Active
C++
ML Ops
API Frameworks
#machine-learning#neural-network#arm-hardware

piiswrong/deep3d

Automatic 2D-to-3D video conversion tool using convolutional neural networks.

1.3K
Archived
Jupyter Notebook
Computer Vision
Jupyter Notebook
#computer-vision#3d-conversion#video-processing

Newmu/Theano-Tutorials

A tutorial project for learning machine learning using the Theano library in Python.

1.3K
Archived
Python
ML Ops
Tutorials & Courses
#machine-learning#theano#tutorial

jmtomczak/intro_dgm

Introductory examples and tutorials on deep generative modeling techniques like VAEs, GANs, and score-based models.

1.3K
Stable
Jupyter Notebook
LLM Frameworks
Tutorials & Courses
PyTorch
#deep-learning#generative-modeling#variational-autoencoder

fahadshamshad/awesome-transformers-in-medical-imaging

A curated collection of resources on applying Transformers to medical imaging tasks like segmentation, classification, and synthesis.

1.3K
Archived
Computer Vision
Tutorials & Courses
#medical-imaging#transformers#computer-vision

apple/ml-neuman

Official repository for NeuMan, a neural human radiance field model from a single video.

1.3K
Archived
Python
Computer Vision
#computer-vision#neural-networks#3d-reconstruction

benedekrozemberczki/CapsGNN

A PyTorch implementation of the Capsule Graph Neural Network (CapsGNN) for graph classification tasks.

1.3K
Archived
Python
GNN
API Frameworks
PyTorch
#graph-neural-network#capsule-network#graph-classification

NVIDIA/partialconv

A new padding scheme for convolutional neural networks using partial convolution-based padding.

1.3K
Archived
Python
Computer Vision
PyTorch
#computer-vision#deep-learning#padding

kakaobrain/nerf-factory

An awesome PyTorch library for building NeRF (Neural Radiance Fields) models.

1.3K
Archived
Python
Computer Vision
Backend Frameworks
PyTorch
#nerf#computer-vision#3d-rendering

BishopFox/eyeballer

Convolutional neural network for analyzing pentest screenshots, useful for security researchers and penetration testers.

1.3K
Archived
Python
Computer Vision
Penetration Testing
Python
#computer-vision#security-tools#penetration-testing

dair-ai/GNNs-Recipe

A comprehensive guide to learning about Graph Neural Networks (GNNs), a powerful deep learning technique for processing graph-structured data.

1.3K
Archived
LLM Frameworks
Tutorials & Courses
React
#graph-neural-networks#deep-learning#machine-learning

weihua916/powerful-gnns

Exploring the capabilities of Graph Neural Networks (GNNs) with Python

1.3K
Archived
Python
React
#graph-neural-networks#deep-learning#ai-coding-tools
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