Ignite
pytorch
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Ml AutomationReview before use
4.8KGitHub
OPENAGENTSKILL / DIRECTORY
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Results · “artificial-dendrite-networks”
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Results: 93
Jetson Inference
dusty-nv
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Ml AutomationReview before use
8.9KGitHub
3.1KGitHub
Awesome AI Tools
mahseema
A curated list of Artificial Intelligence Top Tools
Agent FrameworksReview before use
5.5KGitHub
Semiotic
nteract
React data visualization library for streaming, networks, and AI-assisted development
DataReview before use
2.7KGitHub
3.8KGitHub
2KGitHub
Gowall
Achno
A tool to convert a Wallpaper's color scheme / palette, OCR with VLM's Traditional & Hybrid, Image Compression ,color palette extraction, image upsacling with Adversaria…
Document ProcessingReview before use
2.3KGitHub
Chainer
chainer
A flexible framework of neural networks for deep learning
Ml AutomationReview before use
5.9KGitHub
Bindsnet
BindsNET
Simulation of spiking neural networks (SNNs) using PyTorch.
Ml AutomationReview before use
1.7KGitHub
Sql Translator
whoiskatrin
SQL Translator is a tool for converting natural language queries into SQL code using artificial intelligence. This project is 100% free and open source.
4.3KGitHub
IGAN
junyanz
Interactive Image Generation via Generative Adversarial Networks
Robotics IotReview before use
4KGitHub
PyTorch StudioGAN
POSTECH-CVLab
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
Ml AutomationReview before use
3.5KGitHub
Jekyll Seo Tag
jekyll
A Jekyll plugin to add metadata tags for search engines and social networks to better index and display your site's content.
MarketingReview before use
1.7KGitHub
Siamese Triplet
adambielski
Siamese and triplet networks with online pair/triplet mining in PyTorch
Ml AutomationReview before use
3.2KGitHub
3KGitHub
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