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ai-chip

A list of ICs and IPs for AI, Machine Learning and Deep Learning.

aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

arctern

awesome-chatgpt-prompts-zh

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

caffe

Caffe: a fast open framework for deep learning.

chain-of-thoughtspapers

A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".

chatgpt-api

Node.js client for the unofficial ChatGPT API. 🔥

chatgptpapers

Must-read papers, related blogs and API tools on the pre-training and tuning methods for ChatGPT.

chinese-chatllama

中文LLaMA基础模型；中文ChatLLaMA对话模型；NLP预训练/指令微调数据集

copilot-analysis

corex_topic

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

datatransformerlayer

cuda version data augumentation layer in caffe

emobank

This repository contains EmoBank, a large-scale text corpus manually annotated with emotion according to the psychological Valence-Arousal-Dominance scheme.

focal-loss

The implementation of Focal-Loss Using Caffe

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and MXNet.

literature-books

书籍txt

llm-app-stack

lsoftmax-pytorch

PyTorch implementation Large-Margin Softmax (L-Softmax) loss

luotuo-chinese-llm

骆驼(Luotuo): Open Sourced Chinese Language Models. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技

multiclassdatalayer

These code follow the data providers in papers: [Learning a Metric Embedding for Face Recognition using the Multibatch Method] and [Improved Deep Metric Learning with Multi-class N-pair Loss Objective]

networkx

Network Analysis in Python

nm-sparsity

npairloss

MPI-CAFFE implementation of <Improved Deep Metric Learning with Multi-class N-pair Loss Objective>

post-processing-for-matting

We often change background after matting. But due to the matting precision, the edge of body, especially hair, often leak pixels contain background, so we need some post-processing like this.

pyblur

blurring routines

pytorch-histogram-loss

PyTorch implementation for Histogram Loss

spatialtransformerlayer

synthtabnet

Dataset of PNG images from synthetically generated table layouts with annotations in JSONL files

toollearningpapers

top2vec

Top2Vec learns jointly embedded topic, document and word vectors.