Time series forecasting with PyTorch
AutoML toolkit for automate machine learning lifecycle
Scalable and user friendly neural forecasting algorithms.
Lightning fast C++/CUDA neural network framework
Predicting stock prices using a TensorFlow LSTM
Visualizer for neural network, deep learning, machine learning models
A generic, simple and fast implementation of Deepmind's AlphaZero
High-performance neural network inference framework for mobile
Sharpen your low-resolution pictures with the power of AI upscaling
Set of comprehensive computer vision & machine intelligence libraries
Vector Database for the next generation of AI applications
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis
TensorFlow.js is a library for machine learning in JavaScript
Stanford NLP Python library for many human languages
C++ library for high performance inference on NVIDIA GPUs
Pre-trained Neural Network models in Axon
A python library for easy manipulation and forecasting of time series
Skip YouTube video sponsors (browser extension)
Industrial-strength Natural Language Processing (NLP)
Training and serving large-scale neural networks
A cross-platform Python library for differentiable programming
A simple forecasting package
DeepONets, Neural Operators, Physics-Informed Neural Ops in Julia
OpenMMLab Model Deployment Framework
Real-Time Object Detection for Windows and Linux