Popular GitHub Repositories for Meta Quest

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Automated Machine Learning with scikit-learn

Streamer-Sales 销冠 —— 卖货主播 LLM 大模型??，一个能够根据给定的商品特点从激发用户购买意愿角度出发进行商品解说的卖货主播大模型。??内含详细的数据生成流程? ?另外还集成了 LMDeploy 加速推理?、RAG检索增强生成 ?、TTS文字转语音?、数字人生成 ?、 Agent 使用网络查询实时信息?、ASR 语音转文字??、Vue 生态搭建前端?、FastAPI 搭建后端??、Docker-compose 打包部署?

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

A PyTorch Library for Meta-learning Research

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch

中文羊驼大模型三期项目 (Chinese Llama-3 LLMs) developed from Meta Llama 3

FSL-Mate: A collection of resources for few-shot learning (FSL).

Meta-Transformer for Unified Multimodal Learning

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

My personal prompt library for various LLMs + scripts & tools. Suitable for models from Deepseek, OpenAI, Claude, Meta, Mistral, Google, Grok, and others.

A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS

Repository for few-shot learning machine learning projects

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.

Collection for Few-shot Learning