Trending Projects

An open-source stock trading algorithm backtesting platform for training AI models on financial data.

FinRL Tutorials - a collection of Jupyter Notebooks for financial reinforcement learning.

TGN is a Python library for building temporal graph neural networks for dynamic graph analysis.

An AI-powered model zoo for building machine learning applications and tools.

A Jupyter Notebook project for precise control and experimentation with diffusion models.

A PyTorch implementation of the paper 'All are Worth Words: A ViT Backbone for Diffusion Models'.

An extensive benchmark for scientific machine learning, focused on physics-informed neural networks and partial differential equations.

A handwritten text recognition system implemented using TensorFlow for developers working with computer vision and OCR.

Official implementation of the FastViT research paper, a fast hybrid vision transformer for AI/ML applications.

Minimal, clean example of LSTM neural network training in Python for learning purposes.

Official implementation of a paper on expressive talking head generation using diffusion models.

Hyperparameter optimization library for TensorFlow and Keras, focused on AI/ML model development.

A one-stop Transformer library for state-of-the-art code language models and AI-powered code understanding.

Open source N-dimensional image processing library for scientific computing and computer vision.

NeRF-SLAM: Real-time dense monocular SLAM with neural radiance fields and probabilistic volumetric fusion.

Attention-based OCR library for building vision AI apps that extract text from images.

Rust-based library for building dynamic neural networks and performing autodifferentiation.

Utilities for decoding deep representations (like sentence embeddings) back to text.

An open-source SLAM (Simultaneous Localization and Mapping) library for 3D LiDAR odometry and mapping.

CNTK is an open-source deep learning toolkit for training and deploying AI models.

A deep neural network model for classifying Not Suitable for Work (NSFW) content.

A Go-based framework for building chatbots and AI-powered assistants using Feishu (Lark) and OpenAI's GPT-4 models.

A Python module for automatic summarization of text documents and HTML pages.

A Python library for human pose estimation, skeleton-based action recognition, and action synthesis.

A repository with papers, code, and experiments using deep learning for time series forecasting.

A photorealistic synthetic dataset for holistic indoor scene understanding using machine learning.

A Python library for making stock predictions using machine learning and historical stock data.

A dynamically typed scripting language written in Rust for vibe coders and AI-powered development.

DomainBed is a suite to test domain generalization algorithms for machine learning models.

A lightweight, local-first, and free experiment tracking library for AI/ML developers from Hugging Face.

A Chinese translation of the official PyTorch book 'Deep learning with PyTorch' with runnable code examples.

A Python library for building Bayesian statistical models and performing Bayesian inference.

This repository contains the code for the book 'Deep Learning from Scratch 2' focused on building deep learning models from scratch in Python.

A personal library of papers and books read by the developer, focused on AI and cryptography.

Dynamiq is an orchestration framework for agentic AI and LLM applications, enabling developers to build advanced AI-powered tools.

An open-source platform for logging and analyzing OpenAI API usage, including cost tracking and prompt improvement.

Official implementation of a fashion image-to-video synthesis model using Stable Diffusion.

A Java-based data insights platform for 'vibe coders' building with AI tools and frameworks.

An open-source Chinese version of the LLaMA and Alpaca language models with 64K long context support for advanced NLP applications.

Interactive tool to understand the behavior of machine learning models in an extensible, framework-agnostic way.

A C++ library for simulating biological evolution, not focused on AI coding tools.

A unified platform for researchers to easily use and integrate various large language models and parameter-efficient techniques.

DPR is an open-domain Q&A tool that uses dense passage retrieval to improve performance on question-answering tasks.

An open-source PyTorch implementation of the VQ-VAE-2 model for generating diverse high-fidelity images.

An automated time-series outlier detection system built with Python for anomaly detection and autoML.

A high-level deep learning framework written in Kotlin and inspired by Keras.

A library of 200+ deep learning architecture diagrams and figures for use in blog posts, presentations, and papers.

A symbolic programming library for high-performance, parallel, and symbolic computing in Julia.

Non-official implementation of the CBAM paper, a convolutional block attention module for neural networks.

This repo maps the ecosystem of AI guidelines, principles, ethics, standards, and regulations.