Li Mi's starred repositories

wildclip

Scene and animal attribute retrieval from camera trap data with domain-adapted vision-language models

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Academic-project-page-template

A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

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torchrs

PyTorch implementation of popular datasets and models in remote sensing

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NeuralLog

A neural-symbolic joint reasoning approach for Natural Language Inference (NLI). Modeling NLI as inference path planning through a search engine. Sequence chunking and neural paraphrase detection for syntactic variation. SOTA result on SICK and MED.

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disco

Generating diverse counterfactual data for Natural Language Understanding tasks using Large Language Models (LLMs). The generator supports GPT-3, ChatGPT, and GPT-4.

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annotated-transformer

An annotated implementation of the Transformer paper.

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instructGOOSE

Implementation of Reinforcement Learning from Human Feedback (RLHF)

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awesome-RLHF

A curated list of reinforcement learning with human feedback resources (continually updated)

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Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

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lit-llama

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

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awesome-vqg

Visual Question Generation reading list

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helloFlask

Hello World Flask app ready to run localy and on serve with docker

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remote-sensing-image-caption

remote sensing image classification and image caption by PyTorch

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simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

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text-to-text-transfer-transformer

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

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LAVIS

LAVIS - A One-stop Library for Language-Vision Intelligence

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lm-question-generation

Multilingual/multidomain question generation datasets, models, and python library for question generation.

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