this is the repository about building a neural network from scratch using PURE MATHS!
☆38Jun 22, 2025Updated last year
Alternatives and similar repositories for Neural_Network_from_Scratch
Users that are interested in Neural_Network_from_Scratch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- SHRY (Suite for High-throughput generation of models with atomic substitutions implemented by python) is a tool for generating unique ord…☆15Feb 16, 2026Updated 6 months ago
- Generator of polynomial machine learning potentials☆22Updated this week
- Code for Graph Neural Networks for computational materials science☆24Mar 6, 2026Updated 6 months ago
- Automation software for calculating anharmonic phonon properties☆29Aug 19, 2026Updated 2 weeks ago
- Wyckoff Transformer: Generation of Symmetric Crystals [ICML 2025]☆32Updated this week
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This repository contains the source code for Bayesian Learned Interatomic Potentials (BLIP)☆34May 4, 2026Updated 4 months ago
- Threaded implementation of grid-based Bader charge analysis.☆17Oct 19, 2023Updated 2 years ago
- A pymatgen addon for parsing Quantum ESPRESSO files☆34Nov 30, 2024Updated last year
- This package will help you perform a multiple minumum Monte Carlo conformer search as described in Chang et al., 1989. It is built to be …☆37Apr 23, 2026Updated 4 months ago
- Uncertainty Quantification for Materials Property Prediction: a Benchmark Study☆17Aug 19, 2024Updated 2 years ago
- IITM Paradigms of Programming -- Monsoon 2025☆18Nov 17, 2025Updated 9 months ago
- Machine Learning for Catalyst Design and Discovery☆20Jul 9, 2019Updated 7 years ago
- A LOBSTER's postprocessor that can automatically plot the output from Local-Orbital Basis Suite Towards Electronic-Structure Reconstructi…☆19Sep 23, 2025Updated 11 months ago
- This is the repository of code and data for paper "Machine learning-enabled chemical space exploration of all-inorganic perovskites for p…☆12Sep 23, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Tensor Atomic/Edge Cluster Expansion☆64Updated this week
- A unified package for post-processing optical properties of point defects from first principles calculation.☆12Jul 18, 2026Updated last month
- Introduction to PyTorch, covering tensor initialization, operations, indexing, and reshaping.☆1,056Jan 6, 2026Updated 8 months ago
- Machine-learning-driven VASP interface using MACE potentials☆52Aug 8, 2026Updated 3 weeks ago
- This code deals with MD trajectory from VASP. It calculates lattice parameters, RMSD, and coordination number and also generates .xyz out…☆11Oct 11, 2021Updated 4 years ago
- PLATO: Phonon LAttice TOols a place for all lattice dynamics and thermal transport related tools.☆16Oct 4, 2023Updated 2 years ago
- CatBench - Benchmark Framework of Machine Learning Interatomic Potentials in Adsorption Energy Predictions☆60Jul 29, 2026Updated last month
- BERT and RoBERTa☆20Jun 10, 2021Updated 5 years ago
- post-processing package that performs analysis of structural, transport, and thermodynamic properties from ab initio molecular dynamics s…☆15Jan 9, 2026Updated 7 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- R-package with Algorithms and Tools for Tabular Statistics and Hierarchical Computations☆13Aug 24, 2026Updated 2 weeks ago
- Chemical intuition for surface science in a package.☆63May 8, 2026Updated 3 months ago
- ☆26Jul 2, 2023Updated 3 years ago
- Code for Explainable Synthesizability Prediction of Inorganic Crystal Polymorphs using Large Language Models☆13Feb 19, 2025Updated last year
- Python package for automated transition metal complex conformer generation☆25Dec 4, 2025Updated 9 months ago
- ☆14Dec 14, 2024Updated last year
- Code for "SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER" @COLING-2022☆11Aug 20, 2022Updated 4 years ago
- This repository contains neccessary code to train AnisoNet, an equivariant graph neural network for predicting dielectric tensors of crys…☆14Feb 20, 2026Updated 6 months ago
- Library for Crystal Symmetry in Rust☆78Updated this week
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- MatID is a Python package for identifying and analyzing atomistic systems based on their structure.☆14Jul 6, 2026Updated 2 months ago
- This program converts Standardised Precipitation-Evapotranspiration Index (SPEI) data from the netcdf format to csv and Excel formats.☆11Jun 5, 2024Updated 2 years ago
- Similarity pruning engine for conformational ensembles☆23Apr 28, 2026Updated 4 months ago
- Code for calculating grouped representation of interatomic distances (GRID) from crystal structures, and applying this in machine learnin…☆13Jun 22, 2023Updated 3 years ago
- This is the proof of concept, how a relatively unsophisticated statistical model trained on the large MPDS dataset predicts physical prop…☆11Oct 31, 2024Updated last year
- ☆14Apr 9, 2025Updated last year
- ☆13Mar 11, 2026Updated 5 months ago