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tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos

tensorflow-tutorials-1

Simple tutorials using Google's TensorFlow Framework

tensorflow-wheels

Tensorflow Wheels

tensorflow-yolov4-tflite

YOLOv4, YOLOv3, YOLO-tiny Implemented in Tensorflow 2.0. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

tensorflowdeepsorttracking

Tensorflow object detection with tracking based on the DeepSort algorithm

tensorrt-ssd

Use TensorRT API to implement Caffe-SSD， SSD（channel pruning）， Mobilenet-SSD

tensorrt-ssd-easy

tensorrt_demos

Some examples demonstrating how to optimize caffe/tensorflow/darknet models with TensorRT and run real-time inferencing with the optimized TensorRT engines

test-time-adaptable-neural-networks-for-domain-generalization

Code for the paper "Test-time adaptable neural networks for robust medical image segmentation"

tf-keras-deep-head-pose

A tensorflow & keras implementation of Deep Head Pose

tf2-yolov4

A TensorFlow 2.0 implementation of YOLOv4: Optimal Speed and Accuracy of Object Detection

tf_flame

Example Tensorflow code for the FLAME face model

tf_trt_models

TensorFlow models accelerated with NVIDIA TensorRT

tfjs-models

Pretrained models for TensorFlow.js

tiny

Tiny Face Detector, CVPR 2017

tiny-faces-pytorch

Finding Tiny Faces in PyTorch

tiny_faces_in_tensorflow

A Tensorflow Tiny Face Detector, implementing "Finding Tiny Faces"

torchdistill

A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆20 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

track-anything

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

tracking-with-darkflow

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

tracklite

Using Tensort to speed up yolov3 with deepsort for MOT

train-object-detection-classifier

How To Train an Object Detection Classifier for Multiple Objects Using TensorFlow (GPU) on Windows 10

transfer-learning-library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

transreid

[ICCV-2021] TransReID: Transformer-based Object Re-Identification

transunet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

trt_object_detection

Python sample for referencing object detection model with TensorRT

tutorials

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

two-step-feature-enhancement

Based on our paper "Cervical Cytology Classification Using PCA & GWO Enhanced Deep Features Selection" published in SN Computer Science

uav-path-planning

Unmanned Combat Aerial Vehicles Path Planning Using a Novel Probability Density Model Based on Artificial Bee Colony Algorithm

universenet

Object detection. EfficientDet-D5 level COCO AP in 20 epochs. SOTA single-stage detector on Waymo Open Dataset.