PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
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Updated
Feb 24, 2021 - Python
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
Private voice keyboard, AI chat, images, webcam, recordings, voice control with >= 4 GiB of VRAM.
A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.
One way to continuously monitor sensitive information that could be exposed on Github
Tensorflow implementation of the asynchronous advantage actor-critic (a3c) reinforcement learning algorithm for continuous action space
tbot: test framework
Point symmetry analysis tool for theoretical chemistry objects
Symbl.ai's Python SDK runs in real-time to deliver continuous intelligence over conversation data for sentiments, action-items, follow-ups, questions, or personalized intents. In addition, you can transcribe calls into transcripts.
Continuous administration of the Greene Lab's electronic scrum
Ansible Tower Asset Configuration As Code
Bare-bone repository to set up Maya CI tests.
reinforcement learning algorithms implemented in pytorch
A tool that enables students to automatically generate Harvard References.
Gamma distribution expected value.
Inverse gamma distribution mode.
Laplace distribution variance.
Inverse gamma distribution variance.
Chi-squared distribution variance.
Gamma distribution differential entropy.
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