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3d-boundingbox

PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry

adabins

Official implementation of Adabins: Depth Estimation using adaptive bins

ai_bouncing_ball_neuroevolution-geneticalgorithm-

ai_qatt_style

arabic-ner

Named Entity Recognition System for Arabic

arabicner

Arabic NER system with a strong performance

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

automl

Google Brain AutoML

basic-tensor-operations-and-gradienttape.

bertopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

captchacracker

cifar-10-autoencoder

computer-vision

computer vision projects in image and video processing

computer-vision-scripts

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

custom-and-distributed-training-with-tensorflow

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

darts

A python library for easy manipulation and forecasting of time series.

deep-text-recognition-benchmark

Text recognition (optical character recognition) with deep learning methods.

deep_convolutional_gans

Deep Convolutional Generative Adversarial Networks ​ Automatically generated by Colaboratory.

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

dsnet

DSNet: A Flexible Detect-to-Summarize Network for Video Summarization

economic_reports_and_statistics

a test report

event-registry-python

Python package for API access to news articles and events in the Event Registry

example-app-bert-keyword-extractor

explorable-super-resolution

facial-keypoint-detection

giveme5w1h

Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?

h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

image-captioning

Using a neural network architecture to automatically generate captions from images.