Tensors and Dynamic neural networks in Python with strong GPU acceleration
- neural-network
- autograd
- gpu
- numpy
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Tensors and Dynamic neural networks in Python with strong GPU acceleration
The machine learning toolkit for time series analysis in Python
We propose Prism, a dynamic sparse attention framework for natively training joint video-audio generation models at 2K.
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
Cryptographic Dataset Generation & Modelling Framework
Tensorflow Implementation of "Generating Videos with Scene Dynamics"
Dynamic Capacity Networks using Tensorflow
A Single Library Parser to extract meta information,static analysis and detect macros within the files.