Popular GitHub Repositories for Mathematical 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.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

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

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

AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

? 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"

Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.

[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]