800+ ChatGPT and GPT-3 Examples, Demos, Apps, Showcase, and Generative AI Use-cases.
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GPT-4 Examples, Demos, Apps, Showcase, and Generative AI Use-cases.
Implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
Creating semantic cache to store responses from LLM queries.
GPU cluster manager for running and managing LLMs.
Library for calculating great circle distance.
Greg (Grzegorz) Surma - Portfolio; Machine Learning, Computer Vision, Self-Driving Cars, AI.
Documentation for Grit, covering setup, features, and practical usage.
An LLM by xAI with open source and open weights. opensource.
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-time gesture recognition.
A library for developing and comparing reinforcement learning algorithms (successor of [gym])(https://github.com/openai/gym).
Creates, rewrites or summarizes written content with language models.
Beer glass classifier created with Synaptic.
Fundamentals of machine learning in python.
A curated list of Large Language Model.
Run LLM backends, APIs, frontends, and services with one command.
Weights & Biases, developer tools for machine learning.
Creates, rewrites or summarizes written content with language models.
Creates, rewrites or summarizes written content with language models.
Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Framework for distributed hyperparameter optimization.
Making large AI models cheaper, faster and more accessible.
Library for hyperparameter optimization and black box optimization benchmarks.