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A project that optimizes OWL-ViT for real-time inference with NVIDIA TensorRT.
A tutorial introducing knowledge distillation as an optimization technique for deployment on NVIDIA Jetson
ExpansionNet v2 model trained on the COCO dataset with captions translated into Kazakh
NVIDIA Jetson IMX477 HQ RPI V3 camera driver
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Dockerfile to use NVIDIA SDK Manager on Docker container
PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference
Minimal HW-based demo of GPUDirect RDMA on NVIDIA Jetson AGX Xavier running L4T
This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
Pytorch code for semantic segmentation using ERFNet
A PyTorch toolkit for 2D Human Pose Estimation.
Building a homography dataset and training with PyTorch 📷
ORB_SLAM2 with GPU Enhancement running on NVIDIA Jetson TX1. Focus on ROS part.
A deep learning framework for fault diagnositcs with PyTorch
Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction
DLARM: Dissertation for Computer Science Masters Degree at UFRGS
Free monospaced font with programming ligatures
Node based Gui for creating caffe networks
A list of ICs and IPs for AI, Machine Learning and Deep Learning.
Self-Driving Truck in Euro Truck Simulator 2, trained via Reinforcement Learning
Autonomous Racing Car using NVIDIA Jetson TX2 using end-to-end driving approach. Paper: https://arxiv.org/abs/1604.07316
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Simply beautiful open-source icons
Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".