Abheesht's Projects
My Personal Repository
AI residency programs information
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Tools for curating biomedical training data for large-scale language modeling
multilabel classification of EHR notes
This is a collection of algorithms and approaches used in the book adversarial deep learning
Python Library for Robustness Monitoring and Adversarial Debugging of NLP models
DRIFT is a tool for Diachronic Analysis of Scientific Literature.
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Automatic ICD coding benchmark based on the MIMIC dataset
A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.
Keras documentation, hosted live at keras.io
Industry-strength Natural Language Processing workflows with Keras
OIE Triple Extractor for Database Integration
Models and examples built with TensorFlow
First Deep Reinforcement Learning Project
Toolkit for collecting and applying templates of prompting instances
Solving the famous Reacher Environment using DDPG
Our repository for the code, literature review, and results on SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning
A unified framework for machine learning with time series
Code for our paper: Superpixel-based Domain-Knowledge Infusion in Computer Vision (https://arxiv.org/abs/2105.09448)
Multi-Agent DDPG
Repository for our code and experiments on SemEval-2021 Task-5 Toxic Spans Detection.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.