uclh Goto Github PK

calcmethods

city_obj_retrieval

C++ module for inferencing tensorflow convolutional networks

cocoapi

COCO API - Dataset @ http://cocodataset.org/

cpp_trt_inference

A repository for inferencing neural nets via TRT C++ API

cs231n

Homework assignments from Stanford's cs231n course

cs231n.github.io

Public facing notes page

curriculum_vitae

Resume

ddrnet.pytorch

This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on cityscapes and camvid, without using inference acceleration and extra data

detector_test_bench

Simple object detection test bench

detectron2

Facebook's detectron2 but with minor changes to visualiser

facenet

Face recognition using Tensorflow

maskformer

Per-Pixel Classification is Not All You Need for Semantic Segmentation

mlcoursespbsu

Tasks for SPBSU ML course

neural_networks

Neural networks written on C#

pypipelines

Pipelines for deep learning. Includes pipeline only for segmentation for now

pytorch-quantization-aware-training

PyTorch Quantization Aware Training Example

pytorch-yolov4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

raspberry-pi-pytorch

Whl pytorch and torchvision packages for raspberry-pi

secondarystructureanalyzer

sql_mm

sr_one_shot

Super resolution one shot learning improvement

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

tiny_imagenet

Tiny ImageNet Challenge

torch2onnx2trt

A simple package that wraps PyTorch models conversion to ONNX and TensorRT

tpu

Reference models and tools for Cloud TPUs.

yet-another-efficientdet-pytorch

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.