lixianglong1205

lixianglong1205's repositories

MedQA-ChatGLM

🛰️ 基于真实医疗对话数据在ChatGLM上进行LoRA、P-Tuning V2、Freeze、RLHF等微调，我们的眼光不止于医疗问答

000

bootcamp

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

Apache-2.0000

Fengshenbang-LM

Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。

Apache-2.0000

JEEBench

Repository for the code and dataset for the paper: "Have LLMs Advanced enough? Towards Harder Problem Solving Benchmarks For Large Language Models"

000

string2string

String-to-String Algorithms for Natural Language Processing

MIT000

znn_transformers_tasks

⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF etc.

000

python-guide

Python best practices guidebook, written for humans.

NOASSERTION000

ChatRWKV--chatGPT-RNN

ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

Apache-2.0000

ML-Papers-Explained

Explanation to key concepts in ML 精选了机器学习领域的一些核心概念，对相关工作的原始论文做了解读

000

DDNM--

Official PyTorch implementation for the paper "Zero Shot Image Restoration Using Denoising Diffusion Null-Space Model"

000

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

Apache-2.0000

translators

🌏🌍🌎Translators🌎🌍🌏 is a library which aims to bring free, multiple, enjoyable translation to individuals and students in Python. Translators是一个旨在用Python为个人和学生带来免费、多样、愉快翻译的库。

NOASSERTION000

nlp_torchtext

极度易懂Transformer介绍

000

design-patterns-for-humans-cn

设计模式超简单的解释。

MIT000

getting-started

Getting started with Docker

Apache-2.0000

DeepLearning-500-questions

GPL-3.0000

tmpmail

A temporary email right from your terminal written in POSIX sh

MIT000

gushi_namer

古诗文起名: 利用诗经楚辞唐诗宋词等给小朋友起名字

000

100-Days-Of-ML-Code

100-Days-Of-ML-Code中文版

MIT000

The-Complete-FAANG-Preparation

This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.

MIT000

lixianglong1205