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adaptive-priors-for-burstiness-analysis-in-topic-modeling-with-generalized-dirichlet-distributions

basic_cnns_tensorflow2

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

computer-vision-based-quality-control

quality control(missing medicines in strip) using computer vision capablities(OpenCV)

dcmlda--java-

Java implementation of DCMLDA model

dcmlda--matlab-

DCMLDA topic model

deep-reinforcement-learning-practice

Practice of Deep Reinforcement Learning with Keras and gym.

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

fabricdefectdedection

Python Code - TensorFlow

gcpsketchnote

If you are looking to become a Google Cloud Engineer , then you are at the right place. GCPSketchnote is series where I share Google Cloud concepts in quick and easy to learn format.

inse6220

mobilenetv2

A Keras implementation of MobileNetV2.

mobilenetv3-pytorch

Implementation of MobileNetV3 in pytorch

modern-deep-learning-docker

Modern Deep Learning Docker Image

peek

Quality Assurance System using OpenCV

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

resourceallocationreinforcementlearning

intial version

tensorflow_object_counting_api

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

vehicle-detection-and-tracking

Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering

vionlda

Variational Inference on Latent Dirichlet Allocation. Reproduce paper by Blei et al. 2003

yolov4-pytorch

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO