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Software/Hardware co-design for Deep Learning
- Southern Illinois University Carbondale
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14:24
(UTC -05:00) - https://orcid.org/0000-0001-6804-135X
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A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
SwinIR: Image Restoration Using Swin Transformer (official repository)
Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/
The release codes of LA-MCTS with its application to Neural Architecture Search.
a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
Simple, safe way to store and distribute tensors
DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
Python code accompanying the book "An Introduction to Tsetlin Machines".
Automatically generate and overlay subtitles for any video.
Open Source real-time strategy game engine for early Westwood games such as Command & Conquer: Red Alert written in C# using SDL and OpenGL. Runs on Windows, Linux, *BSD and Mac OS X.
Long-Term Evolution Project of Reinforcement Learning
JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.
Implementation of the Chamfer Distance as a module for pyTorch
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
Implementations of Reinforcement Learning and Planning algorithms
A minimalist environment for decision-making in autonomous driving
Chromium fork named after radioactive element No. 90. Windows and MacOS/Raspi/Android/Special builds are in different repositories, links are towards the top of the README.md.
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT