lllyasviel / Fooocus
Focus on prompting and generating
See what the GitHub community is most excited about today.
Focus on prompting and generating
FaceChain is a deep-learning toolchain for generating your Digital-Twin.
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain | 基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答
Rift: an AI-native language server for your personal AI software engineer
Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)
AWS zero to hero repo for devops engineers to learn AWS in 30 Days. This repo includes projects, presentations, interview questions and real time examples.
Specify what you want it to build, the AI asks for clarification, and then builds it.
Official Code for DragGAN (SIGGRAPH 2023)
GPT based autonomous agent that does online comprehensive research on any given topic
A game where you are a computer's OS and you have to manage processes, memory and I/O events.
[PREVIEW] Sample code for a simple web chat experience targeting chatGPT through AOAI.
Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
A high-throughput and memory-efficient inference and serving engine for LLMs
ModelScope: bring the notion of Model-as-a-Service to life.
NEW - YOLOv8
A framework for few-shot evaluation of autoregressive language models.
CodeGeeX2: A More Powerful Multilingual Code Generation Model
SciPy library main repository
PandasAI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational
one-click deepfake (face swap)
Code and documentation to train Stanford's Alpaca models, and generate the data.
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.