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15-days-of-ai-2021

Come learn the basics of AI with MahilAI

2021-sem4-specialtopic

azure-openai-sql

reference

azure-voting-app-redis-gopi

Azure voting app used in docs.

cc-docker

cicd_eg

cnns-from-scratch

This is an implementation of a CNN from scratch using numpy

cods_ml_proj1

decentralized-ml-discreetai

Full stack service enabling decentralized machine learning on private data

hate-speech-detection-on-code-mixed-dataset-using-a-fusion-of-custom-and-pre-trained-models-with-pro

With the increase in user-generated content on social media networks, hate speech and offensive language content are also increasing. From the perspective of computer science, automatic detection of such hate speech and offensive language content is an interesting problem to solve. The natural language community has taken a step to identify such content via automated hate speech and offensive content detection. The hate speech content is generated mostly on social media, and automatic hate speech and offensive language detection face many challenges due to non-standard spelling and grammar variations. Specifically, in a multilingual community, the hate content would be in code-mixed form, making the task further challenging. In this article, we propose a model for code-mixed hate speech detection. This model embeds the knowledge from both user-trained and multilingual pre-trained models. The proposed method also calculates the profanity word list and augments it. Experimental results on code-mixed hate speech and offensive language detection benchmarks show that our method outperforms the existing baselines.

human-face-super-resolving-using-sr-gans-

The following project aims at super resolving Human faces from low resolution to high resolution images.

langchain

🦜🔗 Build context-aware reasoning applications

llama_index

LlamaIndex (formerly GPT Index) is a data framework for your LLM applications

microbial-networks-with-dgcnn

A novel classification framework for microbial correlation networks

nlp_pcfg_cky

ooad-project

resnet50-cancer-cell-classifier

Cancer Histology Images are one of the more widely used preferred methods to identify cancer. In this project, we train a robust ResNet-50 model to classify breast cancer histology images as benign or malignant by using the BreakHis dataset.

terraformscript-gopi

terraform notes

twitter-cyberbullying

vannaai

🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.

webtech2020

2020 webtech project