Divyanshu RajBehavior Cloning with RLBenchDataset generation process for change point detection and behavior cloning with RLBench simulatorOct 12Oct 12
Divyanshu RajinTowards DevCodespaces: C++ ‘Hello World’ Project with Unit TestsStreamline Your C++ Development Workflow with GitHub Codespaces and GoogleTestSep 6, 20231Sep 6, 20231
Divyanshu RajROS 2 with Docker [Part 1]ROS 2 and it’s GUI with docker containers and GITJan 3, 20231Jan 3, 20231
Divyanshu RajinTowards Data ScienceBaby Steps to Quantum Machine LearningUnderstanding Basic concepts related to Quantum Machine Learning and training a hybrid model for Iris DatasetNov 8, 20221Nov 8, 20221
Divyanshu RajinTowards Data ScienceAre 1000 Seconds Enough to Train?Designing a single strategy with 3 datasets—MNIST, Fashion MNIST, and CIFAR 10—to achieve near SOTA accuracy within 1000 secondsSep 20, 20221Sep 20, 20221
Divyanshu RajinTowards Data ScienceSemi-Supervised Approach for Transformers [Part 2]A Siamese Network structure to fine-tune the RoBERTa model and train a Natural Language Inference Classification taskSep 7, 2022Sep 7, 2022
Divyanshu RajinTowards Data ScienceSemi-Supervised Approach for TransformersA practical approach on training a Transformers based models to achieve high accuracy and robustness following the semi-supervised approachMay 3, 2022May 3, 2022
Divyanshu RajMongoDB: Join between large collectionsIn this article, we will discuss how to deal with joining the data across open source versions of MongoDB databases/collections when data…May 1, 2022May 1, 2022
Divyanshu RajinTowards Data ScienceEvent-Driven Scalability in Data Processing PipelineThe architectural backbone to auto-scale in terms of infra and cost, based on the volume of data to be processedApr 30, 2022Apr 30, 2022
Divyanshu RajinAnalytics VidhyaData Augmentation for Text [with code]This article will show how to code in PyTorch, data augmentation techniques for deep learning problems such as text classification, text…Jun 6, 2021Jun 6, 2021
![Semi-Supervised Approach for Transformers [Part 2]](https://miro.medium.com/v2/resize:fill:160:106/1*4_1ZfBDO1MdORxAXTmPmMw.jpeg)
![Semi-Supervised Approach for Transformers [Part 2]](https://miro.medium.com/v2/resize:fill:320:214/1*4_1ZfBDO1MdORxAXTmPmMw.jpeg)
![Data Augmentation for Text [with code]](https://miro.medium.com/v2/resize:fill:160:106/1*1lM_z3cZjAN-Vm3qAijfIQ.jpeg)
![Data Augmentation for Text [with code]](https://miro.medium.com/v2/resize:fill:320:214/1*1lM_z3cZjAN-Vm3qAijfIQ.jpeg)
