Ankit Shah's Projects
Line-by-line profiling for Python
Lingvo
Full reference of LinkedIn answers 2023 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lรถsungen, linkedin machine learning test LinkedIn test questions and answers
A little bit about a linux kernel
The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.
Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters
Port of Facebook's LLaMA model in C/C++
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".
LLM training code for MosaicML foundation models
A GitHub repository with a list of LLM Resources (Videos, Tutorials, Papers, Tweets)
[ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models
Localizing Visual Sounds the Hard Way
This repository contains an entailment dataset for propositional logic, and code for generating that dataset. It also contains code for parsing the dataset in python.
Exploring finetuning public checkpoints on filter 8K sequences on Pile
Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch
Code for "On Long-Tailed Phenomena in NMT".
This is the repository for "Efficient Low-rank Multimodal Fusion with Modality-Specific Factors", Liu and Shen, et. al. ACL 2018
Large scale detection through adaptation
Identity-Aware Multi-Sentence Video Description
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.
PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".
Official implementation of the paper WAV2CLIP: LEARNING ROBUST AUDIO REPRESENTATIONS FROM CLIP
Implement current SOTA model for image text matching task
A one stop shop for all of your activity recognition needs.
Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)
Biological-Scale Neural Networks