Torch-like deep learning framework for Javascript with support for tensors, autograd, optimizers, and other neural net constructs.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Torch CUDA Neural Network Implementation.
This package provides graphical computation for nn library in Torch7.
A completely unstable and experimental package that extends Torch's builtin nn library.
An optimization library for Torch. SGD, Adagrad, Conjugate-Gradient, LBFGS, RProp and more.
"an experimental open-source attempt to make GPT-4 fully autonomous".
Scripts to load several popular datasets including:.
Works with speech, voice, music or other audio using machine-learning models.
A data and concept drift library for PyTorch.
A flexible and easy to use tool for serving PyTorch models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Interactive notebook-based tool to visualize the forward pass of any PyTorch model.
Open-source project that uses AI for speech, voice, transcription, music, or other audio workflows.
Collection of stable diffusion webui colab for different checkpoints.
Open-source package for validating ML models & data, with various checks and suites.
Deep learning in Rust, with shape checked tensors and neural networks.
Free AI domain generator with availability check and price comparison.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
If this is your first time building with Generative AI models, check out our course, which includes 21 lessons on building with GenAI.
No more fact-checking. No fabricated sources. Just AI you can trust.
No need to keep checking your training, just one import line and you'll know the second it's done.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.