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ayoolaolafenwa/PixelLib

PixelLib is a Python library for image and video segmentation using deep learning models like Mask R-CNN, DeepLab, and PointRend.

1.1K
Archived
Python
Computer Vision
API Frameworks
PyTorch
#image-segmentation#instance-segmentation#semantic-segmentation

gemelo-ai/vocos

Vocos is a high-quality audio synthesis library that bridges the gap between time-domain and Fourier-based neural vocoders.

1.1K
Archived
Python
AI Voice & Speech
Python
#vocoder#audio-synthesis#neural-networks

mihail911/nlp-library

A curated collection of research papers and resources for natural language processing (NLP) practitioners.

1.1K
Archived
LLM Frameworks
Books & Guides
None
#nlp#deep-learning#language-model

AdaptiveMotorControlLab/CEBRA

Official implementation of CEBRA, a tool for joint behavioral and neural analysis using learnable latent embeddings.

1.1K
Active
Python
Machine Learning
CLI Tools
PyTorch
#neuroscience#contrastive-learning#neural-analysis

tsinghua-fib-lab/GNN-Recommender-Systems

A library of recommendation algorithms based on Graph Neural Networks for information retrieval and recommendation systems.

1.1K
Archived
Graph Neural Networks
API Frameworks
#gcn#gnn#graph-neural-networks

SergeyMorugin/ostagram

A JavaScript library for creating neural style transfer images, a type of AI-powered image generation.

1.1K
Stable
JavaScript
Computer Vision
Frontend Frameworks
React
#ai-image-generation#neural-style-transfer#computer-vision

isl-org/MultiObjectiveOptimization

Open-source code for a NeurIPS 2018 paper on multi-task learning as multi-objective optimization

1.1K
Archived
Python
LLM Frameworks
CLI Tools
Python
#machine-learning#optimization#multi-task

bentrevett/pytorch-image-classification

Tutorials on implementing image classification architectures using PyTorch and TorchVision.

1.1K
Archived
Jupyter Notebook
Computer Vision
Tutorials & Courses
PyTorch
#image-classification#convolutional-neural-network#computer-vision

gunrock/gunrock

Programmable CUDA/C++ GPU Graph Analytics library for high-performance parallel graph processing.

1.1K
Active
C++
Graph Databases
CLI Tools
#algorithm#graph-analytics#gpu

YudongGuo/AD-NeRF

A PyTorch implementation of a neural radiance field model for talking head synthesis driven by audio.

1.1K
Archived
Python
Computer Vision
AI Voice & Speech
PyTorch
#audio-driven#neural-radiance-fields#talking-head-synthesis

AILab-CVC/UniRepLKNet

A CVPR 2024 and TPAMI 2025 AI-powered multimodal learning architecture for vibe coders.

1.1K
Stable
Python
Computer Vision
Multimodal Learning
PyTorch
#architecture#artificial-intelligence#convolutional-neural-networks

curiousily/Deep-Learning-For-Hackers

A collection of machine learning tutorials covering various topics like anomaly detection, time series forecasting, and object detection.

1.1K
Archived
Jupyter Notebook
ML Ops
Computer Vision
TensorFlow
#deep-learning#anomaly-detection#time-series-forecasting

wubinzzu/NeuRec

A next-generation recommendation system library for building AI-powered content discovery platforms.

1.1K
Archived
Python
Recommender Systems
Databases
TensorFlow
#recommender-systems#deep-learning#collaborative-filtering

MatthieuCourbariaux/BinaryNet

A Python library for training deep neural networks with weights and activations constrained to +1 or -1.

1.1K
Archived
Python
ML Ops
#neural-networks#binary-models#deep-learning

facebookarchive/fbcunn

Facebook's extensions to the Torch/CUNN deep learning framework, primarily for GPU-accelerated neural network computations.

1.1K
Archived
Lua
LLM Frameworks
API Frameworks
Torch
#deep-learning#gpu-acceleration#neural-networks

robbiebarrat/rapping-neural-network

A recurrent neural network trained on Kanye West's discography to generate new rap songs and lyrics.

1.1K
Archived
Python
Generative Models
Example Projects
Python
#machine-learning#neural-network#rap

deepmedic/deepmedic

An efficient multi-scale 3D convolutional neural network for medical image segmentation tasks.

1.1K
Archived
Python
Computer Vision
API Frameworks
Python
#medical-imaging#deep-learning#neural-networks

caoscott/SReC

PyTorch implementation of a lossless image compression technique using super-resolution.

1.1K
Archived
Python
Computer Vision
Compression
PyTorch
#lossless-compression#super-resolution#neural-network

philipperemy/keract

A Python library that makes it easy to visualize the activations and gradients of Keras neural networks.

1.1K
Experimental
Python
Visualization
IDE Extensions
Keras
#deep-learning#keras-visualization#neural-networks

kennethleungty/Neural-Network-Architecture-Diagrams

A repository containing diagrams for visualizing neural network architectures, useful for AI/ML developers.

1.1K
Experimental
Visualization
#architecture#neural-networks#deep-learning
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