PeterPham's Projects
A Library for Uncertainty Quantification.
lightweight, standalone C++ inference engine for Google's Gemma models.
Langchain + Docker + Neo4j + Ollama
12 Lessons, Get Started Building with Generative AI ๐ https://microsoft.github.io/generative-ai-for-beginners/
Generative Models by Stability AI
One API for all LLMs either Private or Public (Anthropic, Llama V2, GPT 3.5/4, Vertex, GPT4ALL, HuggingFace ...) ๐๐ Replace OpenAI GPT with any LLMs in your app with one line.
GeoChat, the first grounded Large Vision Language Model for Remote Sensing
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Tensor library for machine learning
Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs
๐ข The testing framework for ML models, from tabular to LLMs
:zap: Dynamically generated stats for your github readmes
Open-Set Grounded Text-to-Image Generation
An index of recommendation algorithms that are based on Graph Neural Networks.
Google Research
Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
gpt4all: open-source LLM chatbots that you can run anywhere
gpt4all-j chat
Build and share delightful machine learning apps, all in Python. ๐ Star to support our work!
Extrapolating knowledge graphs from unstructured text using GPT-3 ๐ต๏ธโโ๏ธ
Marrying Grounding DINO with Segment Anything & Stable Diffusion & Tag2Text & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs
Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
Private Q&A and summarization of documents+images or chat with local GPT, 100% private, Apache 2.0. Supports LLaMa2, llama.cpp, and more. Demo: https://gpt.h2o.ai/
Learn how to engineer your end-to-end LLM ecosystem: training, streaming, and inference pipelines | deploy & automate | work in progress...
Free course that takes you from zero to Reinforcement Learning PRO ๐ฆธ๐ปโ๐ฆธ๐ฝ
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Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"
An open-source efficient deep learning framework/compiler, written in python.