Pinned Repositories
adversarial-backdoor-for-code-models
forked repository for reproduction
CBAM_Tumor_Classification
A tumor classification project with a CNN that uses convolutional block attention module.
cumulative-reasoning
Official implementation of paper "Cumulative Reasoning with Large Language Models" (https://arxiv.org/abs/2308.04371)
Gen-Ed
Gen-Ed is a framework for building web applications that use generative AI (LLMs) for education.
ImageDetectorTool
This program can be used to build image detection models for any object.
KerasImageClassification
A small program that uses tensorflow to classify types of clothing.
Mathematical-Reasoning-Agent
An LLM based mathematical reasoning agent for solving problems from MATH dataset. The reasoning agent could extend to other tasks.
MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
Model-Selection-Reasoning
Model Selection with Large Language Models for Reasoning (EMNLP2023 Findings)
PCAP-Data-Extraction
NCSSM mentorship program project to extract data from PCAP files and make that data easy to understand through map visualization
adityabasarkar's Repositories
adityabasarkar/CBAM_Tumor_Classification
A tumor classification project with a CNN that uses convolutional block attention module.
adityabasarkar/Mathematical-Reasoning-Agent
An LLM based mathematical reasoning agent for solving problems from MATH dataset. The reasoning agent could extend to other tasks.
adityabasarkar/adversarial-backdoor-for-code-models
forked repository for reproduction
adityabasarkar/cumulative-reasoning
Official implementation of paper "Cumulative Reasoning with Large Language Models" (https://arxiv.org/abs/2308.04371)
adityabasarkar/Gen-Ed
Gen-Ed is a framework for building web applications that use generative AI (LLMs) for education.
adityabasarkar/ImageDetectorTool
This program can be used to build image detection models for any object.
adityabasarkar/KerasImageClassification
A small program that uses tensorflow to classify types of clothing.
adityabasarkar/MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
adityabasarkar/Model-Selection-Reasoning
Model Selection with Large Language Models for Reasoning (EMNLP2023 Findings)
adityabasarkar/PCAP-Data-Extraction
NCSSM mentorship program project to extract data from PCAP files and make that data easy to understand through map visualization
adityabasarkar/Nano_RAG_Agent
An extremely simple and naive example of a RAG agent. Mostly for fun and experimentation.
adityabasarkar/naturalcc
NaturalCC: An Open-Source Toolkit for Code Intelligence
adityabasarkar/self-discover
Implementation of Google's SELF-DISCOVER
adityabasarkar/YOLO_Object_Detection
A pytorch experiment that uses the YOLO architecture to detect objects