yz26cn Goto Github PK

aclpub2

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

anything-llm

The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.

auto-cot

Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)

autobot-1

Implementation of the paper 'Sentence Bottleneck Autoencoders from Transformer Language Models'

autodiff-puzzles

bert-vits2-integration-package

vits2 backbone with bert

biotranslator

bob

Bob 是一款 macOS 平台的翻译和 OCR 软件。

chatgpt-google-extension

This project is deprecated. Check my new project ChatHub:

chattts

A generative speech model for daily dialogue.

codellama

Inference code for CodeLlama models

cora

This is the official implementation of NeurIPS 2021 "One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval".

cs224u

Code for Stanford CS224u

cs5356-docs

csv-translater

csv-translater with Google Cloud Translation API

ddsp-svc

Real-time end-to-end singing voice conversion system based on DDSP (Differentiable Digital Signal Processing)

deepeverest

DeepEverest: a system for efficient DNN interpretation.

deepseek-coder

DeepSeek Coder: Let the Code Write Itself

dubnet

excalidraw

Virtual whiteboard for sketching hand-drawn like diagrams

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

foldseek

Foldseek enables fast and sensitive comparisons of large structure sets. It reaches sensitivities similar to state-of-the-art structural aligners while being at least 20,000 times faster.

gkp

gpu-puzzles

Solve puzzles. Learn CUDA.

grad2task

Codes for the paper "Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation"

graphex

The implementation of "Graphine: A Dataset for Graph-aware Terminology Definition Generation"

haystack

:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

just-another-research-cv

📝 A not-so-fancy but still a pretty research CV :fireworks: :tada:

l2kd

Code for the EMNLP2020 long paper "Lifelong Language Knowledge Distillation" https://arxiv.org/abs/2010.02123