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
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
NumPy aware dynamic Python compiler using LLVM
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:sunglasses: A curated list of robotics libraries and software
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.