github.com
Torch-like deep learning framework for Javascript with support for tensors, autograd, optimizers, and other neural net constructs.
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github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Torch CUDA Neural Network Implementation.
github.com
This package provides graphical computation for nn library in Torch7.
github.com
A completely unstable and experimental package that extends Torch's builtin nn library.
github.com
An optimization library for Torch. SGD, Adagrad, Conjugate-Gradient, LBFGS, RProp and more.
github.com
"an experimental open-source attempt to make GPT-4 fully autonomous".
github.com
Scripts to load several popular datasets including:.
github.com
Works with speech, voice, music or other audio using machine-learning models.
github.com
A data and concept drift library for PyTorch.
github.com
A flexible and easy to use tool for serving PyTorch models.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Interactive notebook-based tool to visualize the forward pass of any PyTorch model.
github.com
Open-source project that uses AI for speech, voice, transcription, music, or other audio workflows.
github.com
Open-source platform for high-performance ML model serving.
digitalocean.com
Run AI products in production with a unified stack for agents, inference, and cloud—built for control, performance, and economics at scale.
github.com
High performance library for time series distances (DTW) and time series clustering.
lakera.ai
Uncover LLM evaluation's importance and explore methods for assessing its performance and impact across industries.
github.com
FeatherCNN is a high performance inference engine for convolutional neural networks.
github.com
An enterprise-grade, high performance feature store.
github.com
Open source, high performance fine tuning as a service for GPT4 quality models with 5x lower latency and 3x lower cost.
github.com
Library for high performance deep learning inference on NVIDIA GPUs.
github.com
Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.