The simplest, fastest repository for training/finetuning medium-sized GPTs.

What the f*ck Python? 😱

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

OpenMMLab Detection Toolbox and Benchmark

We write your reusable computer vision tools. 💜

Graph Neural Network Library for PyTorch

Datasets, Transforms and Models specific to Computer Vision

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Retinaface get 80.99% in widerface hard val using mobilenet0.25.

PyTorch Tutorials from my YouTube channel

SECOND for KITTI/NuScenes object detection

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Santiment API Python Client

A complete easy to follow implementation of Google's Vision Transformer proposed in "AN IMAGE IS WORTH 16X16 WORDS". This pytorch implementation has comments for better understanding.

Accelerating 3D Indoor Space Construction from Point Clouds with Deep Learning

The PyTorch re-implement of the official DETR.

Semantic Segmentation : Multiclass fine tuning of DeepLabV3 with PyTorch

Source code of the paper "Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection Task" published in LREC 2020.

Convert WIDERFace annotations to COCO format

🔎 🚘 🚛 🚶 🚲 3D objects detections in LIDAR point clouds for autonomous driving

This is the official repository of the paper "Query Focused Abstractive Summarization via Incorporating Query Relevance and Transfer Learning with Transformer Models" accepted at Canadian AI 2020.