A pytorch library for graph and hypergraph computation.
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
High-performance Vision library in Python. Scale your research, not boilerplate.
Physics-Informed Neural networks for Advanced modeling
A Python library for simulation-based inference with deep learning
The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment
Brain Dynamics Programming in Python
Machine learning algorithms for many-body quantum systems
speech to text benchmark framework
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
Python library for analysing faces using PyTorch
Building Convolutional Neural Networks From Scratch using NumPy
A python library for social event detection
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
A flexible, adaptive classification system for dynamic text classification
Laplace approximations for Deep Learning.
Supervisely SDK for Python - convenient way to automate, customize and extend Supervisely Platform for your computer vision task
Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
白箱AGI架构探索:元认知(自我认知循环)、持续学习(知识飞轮)、世界模型(条件空间+语义时空图)、自我改进(自举纪律)、零LLM白箱管线与可审计信任护栏。
A fruit fly connectome as a drone pilot. Camera -> fly eyes -> spiking brain -> descending neurons -> drone. Live 3D demo in your browser.
深度学习与强化学习的系统学习路线:39 个实验,每个配数学推导笔记、原创插图和从零实现的代码
Official PyTorch implementation of HGPTrans: hierarchical graph-pooling Transolver for vehicle aerodynamic drag prediction (Cd regression) from STL meshes.
a neural network + genetic algorithm learns to play mario
AI-powered Labour Law Violation Detection System using Weak Supervision, BiLSTM, Graph Neural Networks (GNN), and Explainable AI to identify labour law violations.
One learned latent for geometry + physics + manufacturability: give it a box and a load, get a solver-certified bracket. SE(3)-equivariant field model, immersed FEA, live 3D designer.
Architecture search beyond the search space: an LLM writes architecture programs, population-based evolution decides which survive. Reference code + 171-architecture zoo for native spiking sequence models.
Neural network from scratch in pure Python + NumPy that recognises handwritten digits (MNIST), with an educational GUI: watch it learn, tweak it while it trains, look inside every layer.
AI-native open-source finite-element platform connecting engineering, computation, data, and AI.