Kranti Kumar R's repositories
SimpleTransformers
Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI https://simpletransformers.ai/
-Adversarial-Latent-Autoencoders
Adversarial Latent Autoencoders
Facebook-AI-DEtection-TRansformer-DETR-Object-Detection
End-to-End Object Detection with Transformers
simple-steps-in-Builiding-OCR
Optical character recognition (OCR) is process of classification of opti- cal patterns contained in a digital image. The character recognition is achieved through segmentation, feature extraction and classification. Keras Deep learning Network is used at here in recognising the Text characters and OpenCV is used in segmenting the text and Noise …
xtending-Google-BERT-as-Question-and-Answering-model-and-Chatbot
BERT Question and Answer system meant and works well for only limited number of words summary like 1 to 2 paragraphs only. It can’t be able to answer well from understanding more than 10 pages of data. We can extend the BERT question and answer model to work as chatbot on large text. To accomplish the understanding of more than 10 pages of data,…
awesomeJulia
awesome Julia
GTA_Self_Driving_Car_RC
A self driving car in GTA V
next_word_prediction
Using transformers to predict next word and predict <mask> word
deep_learning_art_webinar
deep_learning_art_webinar
carla-real-traffic-scenarios
carla-real-traffic-scenarios
pytorch-Deep-Learning
Deep Learning (with PyTorch) https://atcold.github.io/pytorch-Deep…
-pytorch-lightning
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate https://pytorch-lightning.readthedocs…
Awesome-AI-telegram-gp-and-channel
Awesome AI channels and groups in Telegram in Persian/English
MoviesLens-Analytics-in-Spark-and-Scala
Analytics done on movies data set containing a million records. Data pre processing, processing and analytics run using Spark and Scala
McKinsey-SmartCities-Traffic-Prediction
Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge
car-design-generation
Utilizing a DCGAN to create new car designs https://medium.com/@alisoomar/adversa…
ML-Flask-Deployment
Launch machine learning models into production using flask, docker etc.
100_Days_of_ML_Code
100 Days of Machine Learning Code
py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
hadoop-spark-hive-cluster-docker
hadoop-spark-hive-cluster-docker
hadoop-hive-spark-docker
Base Docker image with just essentials: Hadoop, Hive and Spark.
NeuraScale
Super Resolution Generative Adversarial Network (SRGAN) using Tensorflow 2.0
docker-cheat-sheet
docker-cheat-sheet
docker-spark-cluster
A Spark cluster setup running on Docker containers
docker-data-science
Set up an automated data science environment using Docker
dotfiles
Automated environment setup for Linux, Mac OS, Windows, and Android
neural-style
Torch implementation of neural style algorithm
Data-Science-Hackathon-And-Competition
Top 10 in MachineHack | Top 300 in AnalyticsVidya | Hack AI
-Auto_ViML
Automatically Build Multiple ML Models with a Single Line of Code. Collaborators Welcome. Permission Granted upon Request.