Highlights
- Pro
ML - DeepL
Various examples of machine learning, in Haskell.
This repository provides an example of dataset preprocessing, GBRT (Gradient Boosted Regression Tree) model training and evaluation, model tuning and finally model serving (REST API) in a containerβ¦
Build and share delightful machine learning apps, all in Python. π Star to support our work!
Industry-strength Computer Vision workflows with Keras
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Text Generator is a versatile plugin for Obsidian that allows you to generate text content using various AI providers, including OpenAI, Anthropic, Google and local models.
Official JavaScript / TypeScript library for the OpenAI API
π¦π The platform for reliable agents.
High accuracy RAG for answering questions from scientific documents with citations
Unsupervised text tokenizer for Neural Network-based text generation.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
French instruction-following and chat models
Benchmarks of approximate nearest neighbor libraries in Python
π Text-Prompted Generative Audio Model
Universal LLM Deployment Engine with ML Compilation
Generate 3D objects conditioned on text or images
Interact with your documents using the power of GPT, 100% privately, no data leaks
aider is AI pair programming in your terminal
"Tell me a story" is a small app that allows you to write a story using ChatGPT and React Native.
Port of OpenAI's Whisper model in C/C++
Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
Understanding Deep Learning - Simon J.D. Prince
