nilanjan-adhikari Goto Github PK

bnltk

BNLTK(Bangla Natural Language Processing Toolkit): a python package for NLP in Bangla

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

ketcher

Web-based molecule sketcher

ketcherjs

llm_finetuning

localgpt

Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

malaria-parasite-detection

Used Tensorflow(Keras) to implement Malaria Parasite detection system using deep learning. Implemented convolutional neural network to achieve over 90% accuracy on test data.

newsapp

pytorch-basics

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

real-time-voice-cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

self-learning

Books Papers, Courses & more I have to learn soon

self-operating-computer

A framework to enable multimodal models to operate a computer.

shp2_inhibitory_activity_prediction

This repo contains all jupyter notebooks written for the development process of machine learning based models to predict inhibitory capabilities of small molecules against SHP2 enzyme.

stock-data-clustering

K-means clustering algorithm is implemented to identify clusters based on stock data. Linear dimensionality reduction is done in the data through PCA to a 2-dimensional space so that it can be graphically represented to identify different clusters.

tax-chatbot

This is a medical bot built using Llama2 and Sentence Transformers. The bot is powered by Langchain and Chainlit. The bot runs on a decent CPU machine with a minimum of 16GB of RAM.

text-generation-webui-colab

A colab gradio web UI for running Large Language Models

text-tool

text_summarization

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

yelp-reviews-classification

Used techniques and algorithms of Natural Language Processing to develop a review classifier based on text content in Python. Implemented Naive Bayes algorithm to achieve over 90% precision using Scikit-learn.