torchsummary | pypi | Package Usage

RachelShalom/collision-detection

This is a project of binary classifying dangerous situation on the road from the mobile sensors ( Accelerometer/gyroscope/gps/magnetometer)

==1.5.1 requirements.txt

Size: 6.53 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

bemolicida/AIDL-PROJECT-ARTURO-P.G.

REPOS FOR ARTIFICIAL INTELLIGENCE AND DEEP LEARNING PROJECT - UPC

==1.5.1 DEMO FILES AND WEIGHTS/requirements.txt

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tesaho/vehicle_tracking

Stanford CS230 Deep Learning final project using YOLOv3 for vehicle detection

==1.5.1 requirements.txt

Size: 98.6 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

maniceet/How-do-you-like-them-Apples

Fast Ai based classifier which tells if you are talking about the Company or the Fruit

==1.5.1 requirements.txt

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adriancampos/docker-colab-local

==1.5.1 requirements.txt

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JakeForsey/blindness-detection

APTOS 2019 Blindness Detection Kaggle Competition

==1.5.1 requirements.txt

Size: 2.9 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

Mr-Pepe/disentangled-autoencoders

Learning interpretable physical variables from image sequences using autoencoders

==1.5.1 requirements.txt

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simecek/Czech-ULMFiT

ULMFiT language model for Czech language

==1.5.1 experiments/requirements_colab.txt

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jakthra/PathLossPredictionSatelliteImages

Prediction of path loss using satellite images and convoluted neural networks

==1.5.1 requirements.txt

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adarshdwivedi121/DRLND_Collaboration_Competition

==1.4 requirements.txt

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iocfinc/Grab-AIforSEA

Entry for Grab's AI for S.E.A. challenge

==1.5.1 requirements.txt

Size: 50.1 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

NeeluMadan/Medical_image_Segmentation

Segmentation of Thoraci Region: U-Net and V-Net implementation

==1.5.1 requirements.txt

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cc-ai/MUNIT

Multimodal Unsupervised Image-to-Image Translation

==1.5.1 requirements.txt

Size: 30.5 MB - Last synced: 10 months ago - Pushed: over 1 year ago

thuyngch/Iris-Recognition-PyTorch

An end-to-end Iris Recognition implementation using PyTorch

==1.5.1 requirements.txt

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Jmak12/Iris1

==1.5.1 requirements.txt

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darabigdata/WindhoekHack

DARA Big Data Hackathon @ NUST Windhoek

==1.5.1 requirements.txt

Size: 2.51 MB - Last synced: 7 months ago - Pushed: over 1 year ago

sburrel/AIDL2019_PROJECT_SBD

FACE VERIFICATION

==1.5.1 Experiments/Siamesa_v1/requirements_v1.txt
==1.5.1 Experiments/Siamesa_v2/requirements_v2.txt
==1.5.1 Experiments/Siamesa_v3/requirements_v3.txt
==1.5.1 Experiments/Siamesa_v4/requirements_v4.txt
==1.5.1 Experiments/Siamesa_v5/requirements_v5.txt
==1.5.1 Experiments/Siamesa_v6/requirements_v6.txt
==1.5.1 Experiments/Siamesa_v7/requirements_v7.txt

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sinjorjob/django-transformer

Django negative / positive classification application using transformer (using chABSA-dataset)

==1.5.1 source/sample/requirements.txt

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roswell85/Lunar-rock-images-classification-Inception-model-

A binary classification task that requires classification of rock images from the moon into one of the two categories [Large,Smal]

==1.5.1 requirements.txt

Size: 76.2 KB - Last synced: about 1 year ago - Pushed: over 1 year ago

as595/csc-2019

==1.5.1 tutorials/requirements.txt

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asmfadholi/flask-restful

==1.5.1 requirements.txt

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ai4astro/ai4astro.github.io

Lectures on AI for Astronomy

==1.5.1 tutorials/requirements.txt

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cyc025/datasets

==1.5.1 requirements.txt

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shahik/flask_Bert-chatbot-

==1.5.1 requirements.txt

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imilas/Synths_Stacks_Search

Random Audio Synthesizers. Virtual Listening.

==1.5.1 requirements.txt

Size: 103 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

danalbert2254/IMLCNN

==1.5.1 requirements.txt

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alex-g-tejada/Convolution-Food

CS 4347 Assignment 3

==1.5.1 requirements.txt

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lme29/Homework-3

==1.5.1 requirements.txt

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toastedphil/cs4347assignment3

==1.5.1 requirements.txt

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CWhitfield91/ML_HW3

==1.5.1 requirements.txt

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QuteSaltyFish/IE308_project

==1.5.1 requirements.txt

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macroexpansion/im2height

im2height

==1.5.1 requirements.txt

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liaohhhhhh/denoisy

==1.5.1 requirements.txt

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Tobormai/CS_4347_Assignment_3_CNN

==1.5.1 assign3_convolution_nn/requirements.txt

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thugasin/udacity_drln_P3

==1.4 requirements.txt

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kaushik88/portfolio

Personal Portfolio

==1.5.1 requirements.txt

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Aashay7/BERT

==1.5.1 requirements.txt

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grisaitis/small-convnets

* Pipfile
==1.5.1 Pipfile.lock

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abuobayda/pyspark_book

==1.5.1 requirements.txt
==1.5.1 _site/requirements.txt

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anocodetest/asnet

The source code of the model Asymmetrical Network (AsNet).

==1.5.1 requirements.txt

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Kabongosalomon/Cat-vs-Dog-Classifier

Create an algorithm to distinguish dogs from cats

==1.5.1 requirements.txt

Size: 38.8 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

xieenze/HKU_ML_Tutorial

Summer project for HKU UG student about basic deep learning.

==1.5.1 requirements.txt

Size: 63.9 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

BlackPepperAPI/Cadene.pytorch

Cascaded (Task-oriented) Video denoiser which cascade video denoiser with High-level vision module, e.g. video actionnet or video segmentation.

==1.5.1 requirements.txt

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MostafaGazar/lines-segmentation-pytorch

* Pipfile
==1.5.1 Pipfile.lock

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senthilpalanisamy/zero_shot_imitation

==1.5.1 requirements.txt

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wriazati/drl-car-racing

Teaching a car to drive using deep reinforcement learning.

==1.5.1 requirements.txt

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yusukekyokawa/ml-gasshuku2020

==1.5.1 Dockerfile/requirements.txt
==1.5.1 requirements.txt

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karenkathryn/Picked-For-Me

==1.5.1 requirements.txt

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mfts/spaceinvaders-wandb-challenge

OpenAI Gym SpaceInvaders WANDB Challenge

==1.5.1 wandb/requirements.txt

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yumaloop/keras-mobilenetv2-cifar10

==1.5.1 requirements.txt

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carlov93/predictive_maintenance

==1.5.1 requirements.txt

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roiponytch/Flickering_Adversarial_Video

Code and videos accompanying the paper "Flickering Adversarial Attacks against Video Recognition Networks"

==1.5.1 requirements.txt

Size: 22.9 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

jakthra/PseudoRayTracingOSM

Conv nets applied to OSM maps for path loss prediction

==1.5.1 wandb/run-20200212_085304-qm1l3gwq/requirements.txt
==1.5.1 wandb/run-20200212_085350-qoo60he5/requirements.txt
==1.5.1 wandb/run-20200212_085929-gachmwq7/requirements.txt
==1.5.1 wandb/run-20200212_142159-7dwbmsnl/requirements.txt
==1.5.1 wandb/run-20200212_210016-9bc7kto6/requirements.txt
==1.5.1 wandb/run-20200213_085025-uljpw9y1/requirements.txt
==1.5.1 wandb/run-20200217_095202-3yratl3a/requirements.txt
==1.5.1 wandb/run-20200217_095556-0soz0j27/requirements.txt
==1.5.1 wandb/run-20200217_095910-nbv51tui/requirements.txt

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littleSpongebob/biendata_U-RISC

==1.5.1 requirements.txt

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yumaloop/mnist-notebook

==1.5.1 requirements.txt

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yusukekyokawa/ml-project-template

機械学習プロジェクト管理や実験方法に関して学んだことまとめ

==1.5.1 Docker/python-gpu/requirements.txt

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yumaloop/gcp-sample

==1.5.1 requirements.txt

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deltonmyalil/TransferLearning-and-FineTuning-MobileNetV2-for-CatsAndDogs

Using the tf.keras.applications to load an Imagenet trained 155 layer MobileNetV2 and then training the Cats and Dogs dataset via Transfer Learning. Further accuracy is improved using Fine Tuning the last 50 layers.

==1.5.1 requirements.txt

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aneeshpanoli/pyscr

==1.5.1 requirements.txt

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vinotharjun/image-similarity

==1.5.1 requirements.txt

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Minyus/Config

* cpu_ml_spark_1907_py368/requirements.txt
* ml/requirements.txt

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cc-ai/SpadeGAN

Mask-conditioned generation of floods

==1.5.1 requirements.txt

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idia-astro/hackathon-Sol-Plaatje

Repo for the hackathon projects for the Sol Plaatje workshop

==1.5.1 CHALLENGE-3/requirements.txt

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ykchua1/deepLrn

==1.5.1 requirements.txt

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python-marketing-research/python-marketing-research-1ed

==1.5.1 requirements.txt

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trinanjan12/pix2pix_pytorch_lookbook

pix2pix on lookbook data

==1.5.1 requirements.txt

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Tony19970430/decathlon_offsite_test

==1.5.1 requirements.txt

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FADHLOUN-Y/1ST-PLACE-South-African-COVID-19-Vulnerability-Map-Hackathon

This Challenge aims to infer important COVID-19 public health risk factors from outdated data in South Africa

==1.5.1 cfg/requirements.txt

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TonyTang1997/decathlon_offsite

==1.5.1 requirements.txt

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NavyaChandrashekara/CNN_Project1

Implementation of MobileNet as a part of CNN Project

==1.5.1 requirements.txt

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karimcossentini/Second-Place-Urban-Air-Pollution-Challenge-Hackathon

==1.5.1 cfg/requirements.txt

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theodorhusefest/DLAV

Deep Learning for Autonomous Vehicles - EPFL Spring 2020

==1.5.1 project/requirements.txt

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SreyaG/iomics

Project for iomics.

==1.5.1 requirements_iomics.txt

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loveleen-amar/Object-Detection-API

This project introduces an API for object detection. The server will do all the heavy work for the client even if client has low-end system. This API can be used by anyone for the object detection task freely. An image clicked/selected by the client will be sent to the API end-point in specific format and then API would do the object detection task and send back the object detected image. The received image will be obtained by the client with different objects classified within that image. YOLO v3.0 algorithm is used in the backend that would perform the object detection task.