HenryWoodOTC

ColossalAI

Making large AI models cheaper, faster and more accessible

Langchain-Chatchat

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

shap

A game theoretic approach to explain the output of any machine learning model.

GNNPapers

Must-read papers on graph neural networks (GNN)

sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

easy-rl

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

awesome-machine-learning-on-source-code

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

Jiagu

Jiagu深度学习自然语言处理工具 知识图谱关系抽取 中文分词 词性标注 命名实体识别 情感分析 新词发现 关键词 文本摘要 文本聚类

KOOM

KOOM is an OOM killer on mobile platform by Kwai.

rainbow-is-all-you-need

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

KRLPapers

Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

detext

DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks

few-shot

Repository for few-shot learning machine learning projects

MASS

MASS: Masked Sequence to Sequence Pre-training for Language Generation

Awesome-LLM-for-RecSys

Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

CEAL-Medical-Image-Segmentation

Active Deep Learning for Medical Imaging Segmentation

DiscriminativeActiveLearning

Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

Active-NLP

Bayesian Deep Active Learning for Natural Language Processing Tasks

Image-classification-transfer-learning

Categorizing food and grocery products using Transfer Learning from Inception V3

RE2RNN

Source code for the EMNLP 2020 paper "Cold-Start and Interpretability: Turning Regular Expressions intoTrainable Recurrent Neural Networks"

TADAM

The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a ServiceNow Research project that was started at Element AI.

self-imitation-learning-pytorch

This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.

Diverse-RecSys

Collection of diverse recommendation papers

WSDM2020_HUP

Hierarchical User Profiling for E-commerce RecommenderSystems, WSDM 2020

text-to-SQL-survey

TAMER

Implementation of the TAMER algorithm from "Interactively Shaping Agents via Human Reinforcement" (Knox, Stone - 2009)

softmax_loss_variants_pytorch

The PyTorch implementation of variants of loss for text classification & text matching. 基于PyTorch实现的文本分类与文本匹配损失函数变种