Stars
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
A beautiful, simple, clean, and responsive Jekyll theme for academics
A VS code plugin for ChatGPT built by ChatGPT
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Generative Agents: Interactive Simulacra of Human Behavior
We develop benchmarks and analysis tools to evaluate the causal reasoning abilities of LLMs.
Solving the causality pairs challenge (does A cause B) with ChatGPT
TruthfulQA: Measuring How Models Imitate Human Falsehoods
LlamaIndex is the leading framework for building LLM-powered agents over your data.
emjun / tea-lang-vis
Forked from tea-lang-org/tea-langDSL for experimental design and statistical analysis
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Example Discord bot written in Python that uses the completions API to have conversations with the `text-davinci-003` model, and the moderations API to filter the messages.
Conversational Programming for Data Science. The project is aimed to create a functional chatbot for data analysts who are not experts in python to easily implement their analysis intentions white …
A robust, all-in-one GPT interface for Discord. ChatGPT-style conversations, image generation, AI-moderation, custom indexes/knowledgebase, youtube summarizer, and more!
Integrate ChatGPT into your own discord bot
Discord bot for interacting with ChatGPT's API by OpenAI
AI agent stdlib that works with any LLM and TypeScript AI SDK.
Flutter makes it easy and fast to build beautiful apps for mobile and beyond
Apache Beam is a unified programming model for Batch and Streaming data processing.
An Open Source Machine Learning Framework for Everyone
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
A Toolbox for Adversarial Robustness Research
Implementation of the Belief State Encoder / Decoder in the new breakthrough robotics paper from ETH Zürich
Classified traffic signs images using computer vision, deep learning and PyTorch. Used a German dataset and also created our own small Mexican dataset to test it with our own CNN and also trained i…
Development of Deep Learning algorithms for Drivable Area Segmentation, Lane Segmentation, Traffic Sign Detection and Classification with data collected and labeled by Ford Otosan.
deyh2020 / Mask_RCNN
Forked from matterport/Mask_RCNNMask R-CNN for object detection and instance segmentation on Keras and TensorFlow