Popular GitHub Repositories for Lambda Functions

Enhanced ChatGPT Clone: Features Agents, DeepSeek, Anthropic, AWS, OpenAI, Assistants API, Azure, Groq, o1, GPT-4o, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting. Active project.

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

structured outputs for llms

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. It features AI personas, AGI functions, multi-model chats, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy on-prem or in the cloud.

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

✨ AI agents that spark joy

The leading workflow orchestration platform. Run stateful step functions and AI workflows on serverless, servers, or the edge.

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The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

The state-of-the-art image restoration model without nonlinear activation functions.

Seamlessly integrate LLMs as Python functions

? NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"

[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals

[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

Code for the Lovász-Softmax loss (CVPR 2018)

Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe libraries.

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions