Beast code in Giters

Chang Yong Lik's starred repositories

nagisa

A Japanese tokenizer based on recurrent neural networks

Language:PythonMIT37900

python-sdk

Python SDK for Optimizely Feature Experimentation and Optimizely Full Stack (legacy)

Language:PythonApache-2.03200

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

1918300

DiscoPOP

Code for Discovering Preference Optimization Algorithms with and for Large Language Models

Language:PythonMIT14800

LLM4Rec-Awesome-Papers

A list of awesome papers and resources of recommender system on large language model (LLM).

103900

litgpt

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

Language:PythonApache-2.0927400

dispatch

All of the ad-hoc things you're doing to manage incidents today, done for you, and much more!

Language:PythonApache-2.0485600

vision

Datasets, Transforms and Models specific to Computer Vision

Language:PythonBSD-3-Clause1583700

ragflow

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

Language:PythonApache-2.01356600

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

Language:PythonApache-2.02438800

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Language:Jupyter NotebookApache-2.03524900

LeetCode-Go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

Language:GoMIT3253800

ABigSurvey

A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).

GPL-3.0197100

nlp-in-python-tutorial

comparing stand up comedians using natural language processing

Language:Jupyter Notebook169800

Algorithm_Interview_Notes-Chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

Language:Python7600

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

Apache-2.0894600

AI_Tutorial

精选机器学习，NLP，图像识别，深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理。算法大牛笔记汇总

296100

nlp_course

YSDA course in Natural Language Processing

Language:Jupyter NotebookMIT963900

NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Language:HTMLMIT8000