lynnalis's starred repositories
awesome-instruction-learning
Papers and Datasets on Instruction Tuning and Following. ✨✨✨
deepmatcher
Python package for performing Entity and Text Matching using Deep Learning.
EntityMatchingTaskProfiler
Code for profiling entity matching tasks using the dimensions described in the following paper: Primpeli, Anna, and Christian Bizer. "Profiling entity matching benchmark tasks." Proceedings of the 29th ACM International Conference on Information & Knowledge Management. 2020.
routerbench
The code for the paper ROUTERBENCH: A Benchmark for Multi-LLM Routing System
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
Deep-Learning-Specialization-Coursera
:mortar_board: Deep Learning Specialization by Andrew Ng on Coursera.
NLPSpecialization
This repo contains the assignment and quiz solutions of Natural Language Processing Specialization, offered on Coursera.
coursera-natural-language-processing-specialization
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
llm_benchmarks
A collection of benchmarks and datasets for evaluating LLM.
LLMDataHub
A quick guide (especially) for trending instruction finetuning datasets
DiverseEvol
Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning
semantic-router
Superfast AI decision making and intelligent processing of multi-modal data.
llama_index
LlamaIndex is a data framework for your LLM applications
infiniteGPT
InfiniteGPT is a Python script that lets you input an unlimited size text into the OpenAI API. No more tedious copy & pasting. Long live multithreading!
lightspeedGPT
Use GPT4 and GPT3.5 on inputs of unlimited size. Uses multithreading to process multiple chunks in parallel. Useful for tasks like Named Entity Recognition, information extraction on large books, datasets, etc.
gpt-tokens
Calculate the token consumption and amount of openai gpt message
Active-Object-Localization-Deep-Reinforcement-Learning
Active object localization ( bounding boxes ) using deep reinforcement learning.
ctransformers
Python bindings for the Transformer models implemented in C/C++ using GGML library.
Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
language-models
pre-trained Language Models
continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
continual-learning-papers
Continual Learning papers list, curated by ContinualAI