Tensors and Dynamic neural networks in Python with strong GPU acceleration
- neural-network
- autograd
- gpu
- numpy
47,133 repositories indexed
1–11 of 11 · Most stars
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Visualizer for neural network, deep learning and machine learning models
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Machine learning, in numpy
Tool for real-time visualization, monitoring and collaborative analysis of AI/ML experiments and live data. Supports Python, PyTorch/Torch, NumPy, TensorFlow/Keras https://visdom.dev
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.
Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.
Automated Testing for Set-Top Boxes and Smart TVs