High-performance Text-to-Speech server with OpenAI-compatible API, 8 voices, emotion tags, and modern web UI. Optimized for RTX GPUs.

Run Orpheus 3B Locally With LM Studio

Towards Human-Sounding Speech

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

Fine Tune the Style-TTS2 Voice Model

Source code for the X Recommendation Algorithm

CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

The simplest way to run Alpaca (and other LLaMA-based local LLMs) on your own computer

Aligning pretrained language models with instruction data generated by themselves.

LLM as a Chatbot Service

A collection of libraries to optimise AI model performances

An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.

A python wrapper for the Sentiment Investor API

Part of the sentiment investor project. Looks at each ticker and creates metrics from the level-1 metrics.

Part of the sentiment investor project. This is the set of APIs that deliver information to the front end (i.e. sentimentinvestor.com).

Part of the sentiment investor project. A function that aggregates the posts about a stock into metrics.

Part of the sentiment investor project. Takes all the posts about a specific stock from the past hour and aggregates metrics from them.

A Node JS package for accessing and using the API

The example layout of a scraping module. Request a merge to this repo if you want us to add your scraper.

Calculates aggregate metrics across tickers from the metrics produced by level_1_analysis.

Financial data platform for analysts, quants and AI agents.