Popular GitHub Repositories for Laptop Pricing

Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.

Metering and Billing for AI, API and DevOps. Collect and aggregate millions of usage events in real-time and enable usage-based billing.

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

Believe in AI democratization. llama for nodejs backed by llama-rs, llama.cpp and rwkv.cpp, work locally on your laptop CPU. support llama/alpaca/gpt4all/vicuna/rwkv model.

A LLM RAG system runs on your laptop. 大模型检索增强生成系统，可以轻松部署在笔记本电脑上，实现本地知识库智能问答。

Run an AI-powered Discord bot from the comfort of your laptop.

Build Research and Rag agents with Granite on your laptop

Chargym simulates the operation of an electric vehicle charging station (EVCS) considering random EV arrivals and departures within a day. This is a generalised environment for charging/discharging EVs under various disturbances (weather conditions, pricing models, stochastic arrival-departure EV times and stochastic Battery State of Charge (BOC) at arrival). This is an open source OpenAI Gym environment for the implementation of Reinforcement Learning (RL), Rule-based approaches (RB) and Intelligent Control (IC).

Firebolt Core is a free, self-hosted edition of Firebolt's distributed query engine (https://www.firebolt.io/); it provides high-performance data warehousing capabilities that can be deployed anywhere from a single laptop to enterprise datacenters.

Hand-derived memory-efficient super lazy PyTorch VJPs for training LLMs on laptop, all using one op (bundled scaled matmuls).

Discrete choice modeling in Python with large datasets & models - Assortment & Pricing Optimization .

A demo application that uses Amazon SageMaker manuals and pricing data tables as an example to explore the capabilities of a generative AI chatbot.

Optimising electricity expenditure in an HVAC system under dynamic electricity pricing scheme and weather conditions using a DDPG model.

Parse SaaS pricing page using Open AI - GPT-3.5

A DQN agent that optimally hedges an options portfolio.

Scientific Machine Learning for Option Pricing

DeepTrust: A Reliable Financial Knowledge Retrieval Framework For Explaining Extreme Pricing Anomalies

Custom Neuron Decision-Making and Visual Workflow Orchestration Quantitative

Pricing Financial Options contracts using LightGBM, Deep Learning, and Support Vector Machines.