Pinned Repositories
accelerate
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
gnouhp.github.io
Deep Learning Research Blog
MarathonEnvsBaselines
Experimental - using OpenAI baselines with MarathonEnvs (ML-Agents)
ml-agents
Unity Machine Learning Agents Toolkit
pyFirmata
Python interface for the Firmata (http://firmata.org/) protocol. It is compliant with Firmata 2.1. Any help with updating to 2.2 is welcome. The Capability Query is implemented, but the Pin State Query feature not yet.
PyTorch-AdaHAN
An unofficial PyTorch implementation of the HAN and AdaHAN models presented in the "Learning Visual Question Answering by Bootstrapping Hard Attention" research paper.
PyTorch-CoordConv
CoordConv and Not-so-Clevr dataset generation implementations in PyTorch
Synthetic-Segmentation
Generate synthetic images and their corresponding pixel segmentation masks as numpy arrays
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
gnouhp's Repositories
gnouhp/PyTorch-AdaHAN
An unofficial PyTorch implementation of the HAN and AdaHAN models presented in the "Learning Visual Question Answering by Bootstrapping Hard Attention" research paper.
gnouhp/PyTorch-CoordConv
CoordConv and Not-so-Clevr dataset generation implementations in PyTorch
gnouhp/Synthetic-Segmentation
Generate synthetic images and their corresponding pixel segmentation masks as numpy arrays
gnouhp/accelerate
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
gnouhp/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
gnouhp/gnouhp.github.io
Deep Learning Research Blog
gnouhp/MarathonEnvsBaselines
Experimental - using OpenAI baselines with MarathonEnvs (ML-Agents)
gnouhp/ml-agents
Unity Machine Learning Agents Toolkit
gnouhp/pyFirmata
Python interface for the Firmata (http://firmata.org/) protocol. It is compliant with Firmata 2.1. Any help with updating to 2.2 is welcome. The Capability Query is implemented, but the Pin State Query feature not yet.
gnouhp/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.