Popular GitHub Repositories for Energy 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

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.

✨ AI agents that spark joy

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

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

? Turns your machine learning code into microservices with web API, interactive GUI, and more.

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"

A deep learning package for many-body potential energy representation and molecular dynamics

[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.

"Deep Generative Modeling": Introductory Examples