lablab.ai
List of AI tools suggested by lablab.ai for their hackathons.
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testdriver.ai
The @testdriverai in any GitHub repo and TestDriver writes UI tests and catches regressions before they merge. AI-powered end-to-end testing.
github.com
Fast-stable-diffusion, +25-50% speed increase + memory efficient + DreamBooth.
github.com
Automatically create masks for Stable Diffusion inpainting using natural language.
yomu.ai
Yomu AI is the #1 AI writing tool for students. Write essays, papers, and theses in minutes, not hours. Try it free – no credit card required.
github.com
Generating retro pixel game characters with Generative Adversarial Networks. Dataset "TinyHero" included.
animatedai.github.io
Animations and instructional videos about neural networks.
github.com
Platform for Neural Network Search (NAS) that allows you to generate efficient deep networks for your applications.
github.com
Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.
editor.besser-pearl.org
Browser-based visual editor for designing neural networks and automatically generating PyTorch and TensorFlow code.
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Neural networks in JavaScript - continued community fork of Brain.
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The iOS and OS X neural network framework.
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Fast, flexible and fun neural networks. This is the successor of PyBrain.
call-cc.org
Layer - Neural network inference from the command line, implemented in.
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Project that automatically maps relationship networks by parsing public data using LLMs and visualizes it as an interactive graph.
colah.github.io
Blog for understanding Neural Networks!
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Neural networks, regression and feature learning in Clojure.
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FANN (Fast Artificial Neural Network) binding.
cs231n.github.io
Course materials and notes for Stanford class CS231n: Deep Learning for Computer Vision.
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Torch CUDA Neural Network Implementation.
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Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
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Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
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Deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.
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Deep learning in Rust, with shape checked tensors and neural networks.