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MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
PyTorch Tutorial for Deep Learning Researchers
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
📊 Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series
TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
A PyTorch implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)
Implementation of "Tracking without bells and whistles” and the multi-object tracking "Tracktor"
MOT using deepsort and yolov3 with pytorch
Learn how to train a custom instance segmentation model with Detectron2
A simple GUI-based COCO-style JSON Polygon masks' annotation tool to facilitate quick and efficient crowd-sourced generation of annotation masks and bounding boxes. Optionally, one could choose to …
This project is implementing U-net model for detect Deforestation in Daknong - This is not the official version, just test project
Unimodal Conditional Generative Adversarial Network using Keras and MNIST dataset
An image classifier to identify pictures of cats and dogs absed on very little data.(inspired by fchollet's blog on blog.keras.io)
Notebook for O'Reilly's "Deep Convolutional Generative Adversarial Networks"
The world's simplest facial recognition api for Python and the command line
This project combines the knowledge of computer vision techniques and deep learning architectures to build a facial keypoint detection system that takes in any image with faces, and predicts the lo…