artificial-intelligence

Probabilistic time series modeling in Python

A PyTorch Library for Accelerating 3D Deep Learning Research

This repository is a compilation of free resources for learning Data Science.

Implement a reasoning LLM in PyTorch from scratch, step by step

Time series forecasting with PyTorch

Kodezi Chronos is a debugging-first language model that achieves state-of-the-art results on SWE-bench Lite (80.33%) and 67% real-world fix accuracy, over six times better than GPT-4. Built with Adaptive Graph-Guided Retrieval and Persistent Debug Memory. Model available Q1 2026 via Kodezi OS.

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

The Abstraction and Reasoning Corpus

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Data augmentation for NLP

Curated list of Python resources for data science.

Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

The python library for real-time communication

🕵 Artificial Intelligence for social control of public administration | **This repository does not receive frequent updates. Check out the README**

Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%

《大语言模型》作者：赵鑫，李军毅，周昆，唐天一，文继荣

Tengine is a lite, high performance, modular inference engine for embedded device

Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.

Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services

NeuralProphet: A simple forecasting package

MongoDB's Generative AI Showcase: an exhaustive collection of examples and sample applications covering Retrieval-Augmented Generation (RAG), AI agents, and industry-specific use cases.

Repository which contains links and resources on different topics of Computer Science.

Become skilled in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Data Science, Natural Language Processing, Reinforcement Learning and more with this complete 0 to 100 repository.

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

A series of large language models developed by Baichuan Intelligent Technology

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.

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

Vector (and Scalar) Quantization, in Pytorch

A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.