Stars
Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
LangChain 的中文入门教程
Examples and guides for using the OpenAI API
Finetune Llama 3.2, Mistral, Phi, Qwen & Gemma LLMs 2-5x faster with 80% less memory
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
How you can fine-tune a GPT-3 model with Python with your own data
Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
mingyu110 / dify
Forked from langgenius/difyAn Open-Source Assistants API and GPTs alternative. Dify.AI is an LLM application development platform. It integrates the concepts of Backend as a Service and LLMOps, covering the core tech stack r…
ROS-LLM is a framework designed for embodied intelligence applications in ROS. It allows natural language interactions and leverages Large Language Models (LLMs) for decision-making and robot contr…
Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Repository for few-shot learning machine learning projects
A PyTorch implementation of a few shot, and meta-learning algorithms for image classification.
about Regression, Classification, CNN, RNN, Explainable AI, Adversarial Attack, Network Compression, Seq2Seq, GAN, Transfer Learning, Meta Learning, Life-long Learning, Reforcement Learning.
Meta Learning for Semi-Supervised Few-Shot Classification
A PyTorch Library for Meta-learning Research
TelecomTM: A Fine-Grained and Ubiquitous Traffic Monitoring System Using Pre-Existing Telecommunication Fiber-Optic Cables as Sensors
Must Reading Papers, Research Library, Open-Source Code on Integrated Sensing and Communications (aka. Joint Radar and Communications, Joint Sensing and Communications, Dual-Functional Radar Commun…
Pattern recognition and classification of vibration signals collected by Φ-OTDR are carried out using deep learning methods.
An attention based convolutional network combined with LSTM for Phi-OTDR
This dataset contains six types of events, including background noise, digging, knocking, shaking, watering and walking, with a total of 15,612 samples. We also publicize codes for two common basel…
Siamese and triplet networks with online pair/triplet mining in PyTorch