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bytetriper/RAE

Official PyTorch implementation of a diffusion transformer model with representation autoencoders for AI-assisted coding.

1.8K
Active
Python
LLM Frameworks
AI Code Generation
PyTorch
#diffusion-model#transformer#autoencoder

NVIDIA/DeepRecommender

Deep learning for recommender systems collaboration

1.7K
Archived
Python
AI Editors/Agents/Copilot
#collaborative-filtering#deep-autoencoders#deep-learning

acids-ircam/RAVE

Official implementation of the RAVE model, a Realtime Audio Variational autoEncoder for generative audio AI.

1.7K
Experimental
Python
Generative Model
Realtime
Python
#audio#deep-learning#neural-network

MCG-NJU/VideoMAE

A self-supervised video representation learning model for video understanding tasks.

1.7K
Archived
Python
Computer Vision
API Frameworks
PyTorch
#video-analysis#video-understanding#self-supervised-learning

scverse/scvi-tools

A Python library for deep probabilistic analysis of single-cell and spatial omics data.

1.6K
Active
Python
Computer Vision
Databases
Python
#single-cell-genomics#variational-autoencoder#deep-learning

PRIME-RL/SimpleVLA-RL

A reinforcement learning-based approach to scale training of variational autoencoders (VLAs) used in AI tools.

1.4K
Active
Python
Agents & Orchestration
API Frameworks
Python
#reinforcement-learning#variational-autoencoders#ai-tools

NifTK/NiftyNet

An open-source platform for medical image analysis and image-guided therapy research using deep learning.

1.4K
Archived
Python
Computer Vision
API Frameworks
Python
#medical-imaging#image-analysis#deep-learning

bojone/vae

A simple implementation of VAE (Variational Autoencoder) and CVAE (Conditional Variational Autoencoder) using Keras for AI/ML developers.

1.4K
Archived
Python
ML Ops
Inference
Keras
#variational-autoencoder#conditional-vae#keras

keyu-tian/SparK

A PyTorch implementation of a BERT-style pretraining method for convolutional networks, enabling more efficient self-supervised learning.

1.4K
Archived
Python
Computer Vision
Fine-tuning
PyTorch
#bert#cnn#convnet

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

decoderesearch/SAELens

A library for training sparse autoencoders on language models, potentially useful for vibe coders.

1.2K
Active
Python
LLM Frameworks
CLI Tools
Python
#sparse-autoencoder#language-models#machine-learning

RubensZimbres/Repo-2017

This Python repository contains code examples for machine learning, NLP, and deep learning using Keras and Theano

1.2K
Archived
Python
ML Ops
Computer Vision
#machine-learning#deep-learning#natural-language-processing

jaanli/variational-autoencoder

Variational autoencoder implementation in TensorFlow and PyTorch, including inverse autoregressive flow.

1.2K
Archived
Python
Deep Learning
Probabilistic Graphical Models
TensorFlow
#variational-autoencoder#autoregressive-networks#unsupervised-learning

alexandre01/deepsvg

A PyTorch library for deep learning with SVG data, enabling the generation of vector graphics animations.

1.1K
Archived
Jupyter Notebook
Computer Vision
Frontend Frameworks
PyTorch
#deep-learning#svg#animation

mlmed/torchxrayvision

A library of chest X-ray datasets and models for medical AI/ML applications.

1.1K
Stable
Jupyter Notebook
Computer Vision
Datasets
PyTorch
#chest-radiographs#chest-xray#medical-imaging

serengil/tensorflow-101

A comprehensive introduction to deep learning using TensorFlow, covering a range of AI and machine learning topics.

1.1K
Experimental
Jupyter Notebook
Computer Vision
Tutorials & Courses
Python
#deep-learning#computer-vision#facial-recognition

auspicious3000/autovc

A PyTorch-based library for zero-shot voice style transfer using only autoencoder loss.

1.1K
Archived
Python
AI Voice & Speech
API Frameworks
PyTorch
#speech-synthesis#voice-conversion#generative-models

NVlabs/NVAE

Official PyTorch implementation of the NVAE deep hierarchical variational autoencoder for AI and ML developers.

1.1K
Archived
Python
ML Ops
Computer Vision
PyTorch
#variational-autoencoder#deep-learning#computer-vision

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
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