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annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

buildopencv

one click OpenCV installation

c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

coordgan

CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs

cuda-bootcamp

CUDA Programming Practices

dd3d

Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.

deepstream_parallel_inference_app

A project demonstrating how to use nvmetamux to run multiple models in parallel.

deepstream_pose_estimation

This is a sample DeepStream application to demonstrate a human pose estimation pipeline.

deepstream_reference_apps

Samples for TensorRT/Deepstream for Tesla & Jetson

interactive-multi-class-tiny-object-detection

m-fuse

[WACV 2023] M-FUSE: Multi-frame Fusion for Scene Flow Estimation

modern-cpp-tutorial

📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/

nvidia-flash_external_device

Nvidia-flash_external_device for AGX_NX and AGX_ORIN

nvidia-toolkits

Use Script Install CUDA, Cudnn

open-gpu-kernel-modules

NVIDIA Linux open GPU kernel module source

opencv_contrib

Repository for OpenCV's extra modules

project-based-learning

Curated list of project-based tutorials

pseudo-lidar-end-to-end

Pseudo-LiDAR End to End is a 3D object detector which can directly generate accurate 3D bounding box from binocular camera images in a end-to-end method. (Not the version in Kitti leaderboard)

pseudo_lidar

(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

pseudo_lidar_v2

(ICLR) Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving

software

In this repository we will collect all the software, middleware, drivers, ROS modules, and so on, that would allow to run our cars.

surroundocc

[arxiv 2023] Multi-camera 3D Occupancy Prediction for Autonomous Driving

tensorrt_plugin_generator

A simple tool that can generate TensorRT plugin code quickly.

tiny-cuda-nn

Lightning fast C++/CUDA neural network framework

tiny_yolo

Super Resolution Assisted Object Detection in Multimodal Tiny Imagery

torch2trt

An easy to use PyTorch to TensorRT converter

tvm-mali

Optimizing Mobile Deep Learning on ARM GPU with TVM

unimvsnet

[CVPR 2022] Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation

unseenobjectclustering

Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation