emmanuelol
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Command-line program to download videos from YouTube.com and other video sites
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
End-to-End Object Detection with Transformers
A MNIST-like fashion product database. Benchmark 👇
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Setup and customize deep learning environment in seconds.
An easy to use PyTorch to TensorRT converter
Standalone TFRecord reader/writer with PyTorch data loaders
Files for a tutorial to train SegNet for road scenes using the CamVid dataset
A General Toolbox for Identifying Object Detection Errors
This repository contains tutorials and examples for Triton Inference Server
Building Convolutional Neural Networks From Scratch using NumPy
Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation
A project that optimizes OWL-ViT for real-time inference with NVIDIA TensorRT.
RelTR: Relation Transformer for Scene Graph Generation: https://arxiv.org/abs/2201.11460v2
[CVPR 2022] Official Pytorch code for OW-DETR: Open-world Detection Transformer
Convert CIFAR-10 and CIFAR-100 datasets into PNG images
基于TensorFlow2.x实现的YOLOv3，支持在自定义数据集上训练，支持保存为TFLite模型。A tensorflow2 implementation of YOLO_V3(Supports training on custom dataset and saving as tflite models.).
Convert coco dataset to tfrecord for the tensorflow detection API.
A couple of utilities that can be used with Stanford Drone Dataset
Practice set for SWE interview prep. Includes my personal solutions for Leetcode, CTCI, SPOJ, etc.
Use of Deep Learning to perform Instance Segmentation