`cppbestpractices`

Review: a good point to start writing high-quality cpp-code.

`applied-ml`

Review: a list of various papers/videos/posts on the application of machine learning in real companies for real problems.

`awesome-semantic-segmentation-pytorch`

Review: it could be very useful repo for quickly training some basic semantic segmentation model for your task in PyTorch.

`TCMR_RELEASE`

Review: looks like a very good human pose and shape estimation. Also gifs look funny to me.

`OpenBot`

Review: good start for your first garage (apartment) robot.

`lanenet-lane-detection-pytorch`

Review: yet another real-time lane detection. But the source is unfortunately fresh.

`fastseg`

Review: proof of concept that mobileV3+LR-ASPP can be used for AD semantic segmentation. Use the official TorchVision (0.9.0+) implementation, quantize it, convert to onnx and win comma.ai.

`MotionNet`

Review: yet another BEV lidar object detection model.

`publish-gitbook`

Review: github actions to automate gitbook routine.

`ResDepth`

Review: high quality DNN to refine depth from your aerial photo set.

`YOLOX`

Review: a repository for using yolo3-5 in your embedded hardware with TRT, onnx, light versions and more.

`onnxjs`

Review: the official way to run your onnx dnn in web browsers.

`webdnn`

Review: good solution to run your network onnx in different web browsers.

`Awesome-Lane-Detection`

Review: awesome list for awesome lane detection.

`self-adapting-confidence`

Review: good idea and good implementation of the confidence estimation for depth estimation. I think it's a very important area in the field of depth estimation.

`mono-uncertainty`

Review: another implementation of the confidence estimation for depth estimation. Looks pretty good.

`autonomous-car-chase`

Review: it's funny. Waiting for CARLA or BeamNG fork.

`awesome-vehicle-security`

Review: an awesome list for awesome but underrated self-driving cars topic.

`Real-ESRGAN`

Review: one of the best SOTA super resolution methods.

`DASR`

Review: another cool repo for blind super resolution.

`onnx-tensorrt`

Review: cool repo for onnx models into trt converting. Useful if you work with embedded and mobile devices.

`awesome-github-profile-readme`

Review: update your github profile now if you wanna be in trend.

`clearml`

Review: another ml workflow manager. Looks good and possibly looks better with AWS integration.

`drift_drl`

Review: finally.. tokyo drift in CARLA.

`LiDAR-Obstacle-Detection`

Review: a good start point for beginners to understand how you could detect obstacles using lidar point clouds.

`2D-Feature-Tracking`

Review: really useful comparison of differenet feature detection and matching methods in opencv. Even in 2k21 classical feature matching can still be useful in real tasks.