Neural Networks
40 items across the graph — tagged with Neural Networks.
From the graph · 40
Deep Learning for humans
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelli…
TensorFlow-based neural network library
Probabilistic time series modeling in Python
A PyTorch Library for Accelerating 3D Deep Learning Research
Time series forecasting with PyTorch
Relax! Flux is the ML library that doesn't make you tensor
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Probabilistic reasoning and statistical analysis in TensorFlow
JAX-based neural network library
Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference
Message Passing Neural Networks for Molecule Property Prediction
High-quality implementations of standard and SOTA methods on a variety of tasks.
List of papers studying machine learning through the lens of category theory
Computations and statistics on manifolds with geometric structures.
Arm NN ML Software.
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
The nnsight package enables interpreting and manipulating the internals of deep learned models.
JAX in JavaScript – ML library for the web, running on WebGPU & Wasm
Physics-Informed Neural networks for Advanced modeling
Physics-Informed Neural networks for Advanced modeling
Machine Learning inference engine for Microcontrollers and Embedded devices
Elegant and Performant Deep Learning
Machine learning algorithms for many-body quantum systems
Bayesian Deep Learning: A Survey
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create…
Machine Learning for High Energy Physics.
Practical Computer Vision Bootcamp with notebooks, quizzes, and videos
Framework for Interpretable Neural Networks
Born is a modern ML framework for Go — train and deploy models as single binaries. Pure Go, zero CGO, GPU accelerated.
physics-guided neural networks (phygnn)
Embed trained machine learning predictors into JuMP and ExaModels
Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural network models (and their in…
A deep learning library for use in high-performance computing applications in modern Fortran
A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
An automatically updated feed with summaries of the best Habr.com articles generated by the YandexGPT neural network.
Interactive visualization of Manifold-Constrained Hyper-Connections (mHC) for stable deep network training
Pure C++23 LLM inference for Apple Silicon chips
Sıfırdan ileri seviyeye Deep Learning yol haritası. 11 modül: PDF + Python + Jupyter Notebook. NumPy · TensorFlow · PyTorch karşılaştırmalı implementasyonlar.