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coursera-nlp-specialization

This repository contains all the exercise of coursera NLP specialization courses

credit-card-fraud-detection-with-ml

cross-domain-ambiguity-detection

Cross-Domain Ambiguity Detection using Linear Transformation of Word Embedding Spaces

cuet_nlp-eacl_2021

This repository contains the system description and the codes that we implemented for participating in EACL-2021 shared tasks.

cuhksz_dip

cyberbullying-tweet-recognition-app

daily-dose-of-data-science

A collection of code snippets from the publication Daily Dose of Data Science on Substack: https://avichawla.substack.com.

data-analysis-work

data-science-book-collections

dataverse

Public code of Dr. Ivan Reznikov used in posts, articles, conferences

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-reinforcement-learning-with-python

Deep Reinforcement Learning with Python, Second Edition, published by Packt

deep-reinforcement-learning-with-pytorch

PyTorch implementation of Deep Reinforcement Algorithms ( DQN , etc)

deeplearning-padhai

All the code files related to the deep learning course from PadhAI

deeplearningwithtf2.0

Practical Exercises in Tensorflow 2.0 for Ian Goodfellows Deep Learning Book

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

detecting-scientific-claim

Extracting scientific claims from biomedical abstracts (powered by AllenNLP), demo:

dimension-reduction

GloVe pretrained embeddings dimension reduction with PCA on Google Colab

dl-fundamentals

Deep Learning Fundamentals -- Code material and exercises

dpo

empaper

This is a repository for sharing papers in the field of empathetic conversational AI. The related source code for each paper is linked if available.

emrqa

Code for the emrQA question answering dataset

evaluating-and-debugging-generative-ai

Machine learning and AI projects require managing diverse data sources, vast data volumes, model and parameter development, and conducting numerous test and evaluation experiments. Overseeing and tracking these aspects of a program can quickly become an overwhelming task.

exploring-bert

My experiments with various use-cases involving BERT.

face-mask-detection

feature-engineering-and-selection

finetuned-qlora-falcon7b-medical

Finetuning of Falcon-7B LLM using QLoRA on Mental Health Conversational Dataset

flight-price-prediction

function_call_openai