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aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aoapc-bac2nd

Source codes for book <<<BeginningAlgorithmContests>> Second edition

awesome

:sunglasses: Curated list of awesome lists

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going).

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

bazingagin.github.io

ccl_cmrc2017

第一届“讯飞杯”中文机器阅读理解评测参考模型

chatgpt

Reverse engineered ChatGPT API

chengyu_data

dagre-es

The dagrejs library exported as ES modules.

duckietown

In this repository we will collect all the software, middleware, drivers, ROS modules, and so on, that would allow to run our cars.

dynet_tutorial_examples

Tutorial on "Practical Neural Networks for NLP: From Theory to Code" at EMNLP 2016

fastchat

The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"

gan-qa

Applying GANs in improving question generation and answering

good-papers

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

greymatter

iba

iba-paper-code

Code for the Paper "Restricting the Flow: Information Bottlenecks for Attribution"

interview_python

关于Python的面试题

langchain

⚡ Building applications with LLMs through composability ⚡

lectures

Oxford Deep NLP 2017 course

llama-factory

Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)

natural-language-summary-generation-from-structured-data

Implementation of the paper -> https://arxiv.org/abs/1709.00155. For converting information present in the form of structured data into natural language text

neural-style

Torch implementation of neural style algorithm

nltk-trainer

Train NLTK objects with zero code

npc_gzip

Code for Paper: “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors

npc_lv

opsys

pdf2htmlex

Convert PDF to HTML without losing text or format.

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.