Vivek V Krishnan's repositories
anchor
Code for "High-Precision Model-Agnostic Explanations" paper
autogen
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
ConvoKit
ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the use of the toolkit on these datasets.
crewAI-examples
Examples I was exploring for agent frameworks
developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
devika
Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.
dsRAG
High-performance retrieval engine for unstructured data
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
fine-grained-event-classification
research repo for fine grained event classification
latent-scope
A scientific instrument for investigating latent spaces
llm_aided_ocr
Enhance Tesseract OCR output for scanned PDFs by applying Large Language Model (LLM) corrections.
neuralcoref
✨Fast Coreference Resolution in spaCy with Neural Networks
nlpaug
Data augmentation for NLP
professional-programming
A collection of learning resources for curious software engineers
Resources-Front-End-Beginner
💯 The most essential list of resources for Front-End beginners (🇺🇸 🇬🇧 🇨🇦 & 🇫🇷)
segment-anything-2
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
serverless-template
For deployment of models
SKU110K-DenseDet
A state of art detector for densely packed scenes dataset SKU-110K
small-text
Active Learning for Text Classification in Python
transcriptionstream
turnkey self-hosted offline transcription and diarization service with llm summary