Popular GitHub Repositories for Required

:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed, P2P inference

Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.

GPT 3.5/4 with a Chat Web UI. No API key required.

Explore how machine learning works, live in the browser. No coding required.

Simple shell script to use OpenAI's ChatGPT and DALL-E from the terminal. No Python or JS required.

Visually build a full featured chat bot for Telegram, Facebook Messenger, Whatsapp and Slack with Node-RED. Almost no coding skills required.

Real Time Big Data / IoT Machine Learning (Model Training and Inference) with HiveMQ (MQTT), TensorFlow IO and Apache Kafka - no additional data store like S3, HDFS or Spark required

Is a geometric model required to synthesize novel views from a single image?

? Edgen: Local, private GenAI server alternative to OpenAI. No GPU required. Run AI models locally: LLMs (Llama2, Mistral, Mixtral...), Speech-to-text (whisper) and many others.

? A fully local, cross-platform AI chat application powered by Ollama. Chat securely across macOS, Windows, Linux, Android, and iOS - no cloud required.

A lightweight, functional, and composable framework for building AI agents. No PhD required.

GPT 3.5/4 with a Chat Web UI. No API key required. Web server developed with c++

?? RumbleDB 1.22.0 "Pyrenean oak" ? for Apache Spark | Run queries on your large-scale, messy JSON-like data (JSON, text, CSV, Parquet, ROOT, AVRO, SVM...) | No install required (just a jar to download) | Declarative Machine Learning and more

Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoising networks using only noisy speech samples.

A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps required to build AND OPERATE ML products in production. It is a must-read for ML practitioners and Software Engineers Transitioning into ML.

? An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.

(NEW) GPT 3.5/4 with a Chat Web UI. No API key required.

Free Proxy to access Claude-3 API. Anthropic key not required ?. It uses OpenAI format api to easily integrate on any Openai supported frontend.

Various projects using Large Language Model (GPT & LLAMA) other open source model from HuggingFace and OpenAI. OpenAI API required for running various model

This is a PowerShell script that automates the process of setting up and running VICUNA on a CPU (without a graphics card) using the llama.cpp library and a pre-trained ggml-vicuna-13b-4bit.bin model. The script downloads and extracts the required files, creates a batch file to run VICUNA, and creates a desktop shortcut to launch the batch file.