deep-learning

FireRed-Image-Edit is a powerful image editing foundation model achieving open-source state-of-the-art performance with precise instruction following, high-fidelity generation, superior identity consistency, and seamless multi-element fusion.

"Deep Generative Modeling": Introductory Examples

Toolkit to segment text into sentences or other semantic units in a robust, efficient and adaptable way.

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Tensorflow Backend for ONNX

Your AI Game Dev Hub. The ultimate resource hub for AI-powered game development tools. Discover cutting-edge LLMs, World Model, Agent, Code, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analytics. 🔥

Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).

TabICLv2: An open tabular foundation model

State-of-the-art, simple, fast unbounded / large-scale NeRFs.

A lightweight adapter bridges SAM with medical imaging [MedIA]

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

Offline inference engine for art, real-time voice conversations, LLM powered chatbots and automated workflows

:art: 数学公式识别增强版：中英文手写印刷公式、支持初级符号推导（数据结构基于 LaTeX 抽象语法树）Math Formula OCR Pro, supports handwrite, Chinese-mixed formulas and simple symbol reasoning (based on LaTeX AST).

Curated visual catalog of 155+ vision-language model (VLM/MLLM) architectures: papers, diagrams, training recipes, datasets, and a release timeline for multimodal AI agents.

Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)

Go from no deep learning knowledge to implementing GPT.

A comprehensive list of awesome contrastive self-supervised learning papers.

A curated list of the most impressive AI papers

High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.

Implementation of the node2vec algorithm.

🤗 image matching webui

Deep learning software to decode EEG, ECG or MEG signals

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

🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.

This is a background removing tool powered by InSPyReNet (ACCV 2022)

Therapeutics Commons (TDC): Multimodal Foundation for Therapeutic Science