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Deep Learning

937 projects

Showing 36 of 937 projects

zenml
zenmlPython

An open-source MLOps platform for building, orchestrating, and deploying production AI pipelines and agents.

#pipelines#ai-pipelines#data-science
Stars5.5k
Forks640
Last commit1 day ago
rust
rustRust

Rust language bindings for TensorFlow, providing idiomatic access to machine learning capabilities.

#deep-learning#neural-networks#gpu-computing
Stars5.5k
Forks434
Last commit1 year ago
flashlight
flashlightC++

A fast, flexible C++ standalone library for machine learning with high-performance defaults and total internal modifiability.

#high-performance-computing#neural-network#arrayfire
Stars5.5k
Forks501
Last commit
flashlight
flashlightC++

A fast, flexible C++ standalone library for machine learning with high-performance defaults and total internal modifiability.

#high-performance-computing#neural-network#arrayfire
Stars5.5k
Forks501
Last commit1 month ago
tch-rs
tch-rsRust

Rust bindings for the C++ API of PyTorch, providing thin wrappers around libtorch.

#neural-network#deep-learning#bindings
Stars5.5k
Forks443
Last commit7 days ago
Awesome Domain Adaptation
Awesome Domain Adaptation

A curated collection of papers, code, and resources for domain adaptation in machine learning.

#transfer-learning#zero-shot-learning#image-translation
Stars5.5k
Forks882
Last commit7 months ago
Wavenet
WavenetPython

A TensorFlow implementation of DeepMind's WaveNet neural network for generating raw audio waveforms.

#neural-network#deep-learning#generative-model
Stars5.4k
Forks1.3k
Last commit3 years ago
Graph Nets
Graph NetsPython

DeepMind's library for building graph networks in TensorFlow and Sonnet, enabling graph-structured data processing with neural networks.

#graph-structured-data#graph-neural-networks#graph-processing
Stars5.4k
Forks776
Last commit
machine-learning-book
machine-learning-bookJupyter Notebook

Code repository for the 'Machine Learning with PyTorch and Scikit-Learn' book, providing practical examples and notebooks.

#code-examples#data-science#deep-learning
Stars5.3k
Forks1.8k
Last commit1 month ago
yolact
yolactPython

A fully convolutional neural network for real-time instance segmentation, achieving high speed and accuracy on COCO.

#realtime#yolact#instance-segmentation
Stars5.2k
Forks1.3k
Last commit10 months ago
Microsoft ML for Apache Spark
Microsoft ML for Apache SparkScala

An open-source library for building massively scalable machine learning pipelines on Apache Spark.

#apache-spark#microsoft#spark
Stars5.2k
Forks863
Last commit18 days ago
awesome-geospatial
awesome-geospatial

A curated list of open-source geospatial analysis tools, libraries, and resources across multiple programming languages and domains.

#lidar#web-mapping#open-source
Stars5.2k
Forks758
Last commit3 days ago
SQLFlow
SQLFlowGo

A compiler that extends SQL with AI capabilities to train, predict, and evaluate machine learning models directly from SQL statements.

#ai#argo-workflows#sql-ai
Stars5.2k
Forks704
Last commit2 years ago
Augmentor
AugmentorPython

A Python library for image augmentation in machine learning, offering a stochastic pipeline approach with fine-grained control over operations.

#pytorch-integration#python-library#image-augmentation
Stars5.1k
Forks873
Last commit2 years ago
Have Fun With Machine Learning
Have Fun With Machine LearningPython

A hands-on beginner's guide to machine learning and image classification using Caffe and DIGITS with neural networks.

#transfer-learning#neural-network#deep-learning
Stars5.1k
Forks531
Last commit
Awesome GAN applications
Awesome GAN applications

A curated list of awesome Generative Adversarial Network (GAN) applications and demonstrations across various domains.

#deep-learning#papers#demonstration
Stars5.1k
Forks814
Last commit1 month ago
Graph Based Deep Learning Literature
Graph Based Deep Learning LiteratureJupyter Notebook

A curated collection of links to conference publications, surveys, and software in graph-based deep learning.

#graph-neural-networks#literature-review#graph
Stars5.1k
Forks781
Last commit
keras-js
keras-jsJavaScript

Run trained Keras models directly in the browser with GPU acceleration via WebGL.

#deep-learning#neural-networks#keras
Stars5.0k
Forks492
Last commit4 years ago
koharu
koharuRust

A local-first, ML-powered desktop application for translating manga, built in Rust with automated text detection, OCR, inpainting, and LLM translation.

#manga#desktop-app#inpainting
Stars4.9k
Forks306
Last commit2 days ago
textgenrnn
textgenrnnPython

A Python module for easily training character- or word-level text-generating neural networks on any dataset with minimal code.

#char-rnn#deep-learning#neural-networks
Stars4.9k
Forks731
Last commit4 years ago
NCCL
NCCLC++

A library of optimized communication primitives for multi-GPU and multi-node collective operations.

#multi-gpu#cuda#distributed-training
Stars4.9k
Forks1.4k
Last commit1 day ago
Porcupine
PorcupinePython

A highly-accurate, lightweight, on-device wake word detection engine powered by deep learning.

#iot#embedded-systems#on-device
Stars4.9k
Forks578
Last commit3 days ago
djl
djlJava

An engine-agnostic deep learning framework for Java developers, providing a high-level API for model training and inference.

#ai#neural-network#model-training
Stars4.8k
Forks753
Last commit9 days ago
Awesome Graph Embedding
Awesome Graph EmbeddingPython

A curated collection of graph classification papers with reference implementations covering embedding, deep learning, kernels, and factorization.

#graph-neural-networks#graph2vec#research-papers
Stars4.8k
Forks726
Last commit
Awesome graph classification
Awesome graph classificationPython

A curated collection of graph classification papers with implementations covering embeddings, deep learning, kernels, and factorization.

#graph-neural-networks#graph2vec#research-papers
Stars4.8k
Forks726
Last commit
ignite
ignitePython

A high-level library for training and evaluating neural networks in PyTorch with a flexible engine and event system.

#distributed-training#hacktoberfest#neural-network
Stars4.8k
Forks709
Last commit1 day ago
Awesome Face Recognition
Awesome Face Recognition

A curated collection of academic papers covering all aspects of face analysis, including detection, recognition, alignment, generation, and anti-spoofing.

#face-generation#face-superresolution#deep-learning
Stars4.7k
Forks973
Last commit3 years ago
lucid
lucidJupyter Notebook

A collection of infrastructure and tools for research in neural network interpretability and visualization.

#distill-pub#deep-learning#interpretability
Stars4.7k
Forks645
Last commit3 years ago
Whisper JAX
Whisper JAXJupyter Notebook

A JAX implementation of OpenAI's Whisper model offering up to 70x faster transcription on TPUs.

#parallel-computing#jax#deep-learning
Stars4.7k
Forks412
Last commit2 years ago
datascience
datascience

A curated collection of Python libraries, tutorials, and tools for data science, from data wrangling to machine learning and visualization.

#data-science#statistics#deep-learning
Stars4.6k
Forks716
Last commit1 month ago
Deep Learning Roadmap
Deep Learning RoadmapPython

:satellite: All You Need to Know About Deep Learning - A kick-starter

#deep-learning#resources
Stars4.6k
Forks658
Last commit3 years ago
pysot
pysotPython

A PyTorch-based research platform implementing state-of-the-art single object tracking algorithms like SiamRPN and SiamMask.

#object-tracking#deep-learning#siamrpn
Stars4.6k
Forks1.1k
Last commit1 year ago
RecBole
RecBolePython

A unified, comprehensive, and efficient Python/PyTorch library for reproducing and developing recommendation algorithms.

#graph-neural-networks#knowledge-graphs#deep-learning
Stars4.5k
Forks747
Last commit1 year ago
TensorFlow-World
TensorFlow-WorldPython

:earth_americas: Simple and ready-to-use tutorials for TensorFlow

#neural-network#deep-learning#python
Stars4.5k
Forks405
Last commit5 years ago
Deep High-Resolution-Net
Deep High-Resolution-NetCuda

Official PyTorch implementation of HRNet for human pose estimation, maintaining high-resolution representations through parallel multi-scale fusions.

#deep-learning#human-pose-estimation#mscoco-keypoint
Stars4.5k
Forks922
Last commit
TensorFlow Book
TensorFlow BookJupyter Notebook

Official code repository for the 'Machine Learning with TensorFlow' book with practical examples.

#code-examples#autoencoder#data-science
Stars4.4k
Forks1.2k
Last commit3 years ago
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