"Tips and tricks for working with Large Language Models like OpenAI's GPT-4".
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Fast open framework for deep learning.
The primary interface for interacting with OpenAI models, supporting chat, coding, data analysis, research, and agent workflows.
Open Code LLMs for Code Understanding and Generation.
Reading Wikipedia to answer open-domain questions.
An open-core tool to automate data and training workflows.
Cross platform wrapper of OpenCV which can be compiled in Mono to be run on Windows, Linus, Mac OS X, iOS, and Android.
Text-to-image models by Black Forest Labs with high-quality photorealistic output. opensource.
Speech recognition toolkit with streaming ASR, VAD, punctuation, speaker diarization, and OpenAI-compatible serving for voice AI applications.
Port of OpenAI's Whisper model in C/C++. It can be executed locally.
Open Bilingual Pre-Trained Model (ICLR 2023).
Open Bilingual Pre-Trained Model, quantization of ChatGLM-130B, can run on consumer-level GPUs.
Package for computer vision using OpenCV 4 and beyond.
A library for developing and comparing reinforcement learning algorithms (successor of [gym])(https://github.com/openai/gym).
Let AI agents message, watch, and spawn each other across terminals. Claude Code, Gemini CLI, Codex, OpenCode.
A tool that provides a Model Context Protocol (MCP) server for any web application with an OpenAPI specification.
Tensorflow and OpenAI Clarity's Lucid adapted for PyTorch.
A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.
TypeScript SDK to easily call 100+ LLMs using OpenAI's format.
An open course on designing, developing, deploying, and iterating on production ML systems.
Mexopencv: Collection and a development kit of matlab mex functions for OpenCV library.
OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others).
Chatbot using OpenAI GPT-3.5 and Pinecone for intelligent knowledge retrieval.
Proof-of-concept OpenAI Gym environment for Neural Architecture Search (NAS).