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Ankit Shah's Projects

linkedin-skill-assessments-quizzes icon linkedin-skill-assessments-quizzes

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

lit icon lit

The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.

llama-adapter icon llama-adapter

Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

llm-adapters icon llm-adapters

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

llm-agent-paper-list icon llm-agent-paper-list

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.

llm-eval-survey icon llm-eval-survey

The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".

llm_resource icon llm_resource

A GitHub repository with a list of LLM Resources (Videos, Tutorials, Papers, Tweets)

lm_bias icon lm_bias

[ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models

logical-entailment-dataset icon logical-entailment-dataset

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.

long-short-transformer icon long-short-transformer

Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch

low-rank-multimodal-fusion icon low-rank-multimodal-fusion

This is the repository for "Efficient Low-rank Multimodal Fusion with Modality-Specific Factors", Liu and Shen, et. al. ACL 2018

lsda icon lsda

Large scale detection through adaptation

ludwig icon ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

lxmert icon lxmert

PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

lyrebird-wav2clip icon lyrebird-wav2clip

Official implementation of the paper WAV2CLIP: LEARNING ROBUST AUDIO REPRESENTATIONS FROM CLIP

m-dan icon m-dan

Implement current SOTA model for image text matching task

m-pact icon m-pact

A one stop shop for all of your activity recognition needs.

mac-network icon mac-network

Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)

mach icon mach

Biological-Scale Neural Networks

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