Stars
Pure Python from-scratch zero-dependency implementation of Bitcoin for educational purposes
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Reproducing images with geometric primitives.
Aligning pretrained language models with instruction data generated by themselves.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
Generative Tensorial Reinforcement Learning (GENTRL) model
Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).
Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
Processing and directory structure for Stroke EIT Dataset
An Open Source Machine Learning Framework for Everyone
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Models and examples built with TensorFlow
gprMax is open source software that simulates electromagnetic wave propagation using the Finite-Difference Time-Domain (FDTD) method for numerical modelling of Ground Penetrating Radar (GPR)
Python based toolkit for Electrical Impedance Tomography
A comprehensive and full-featured computational physics suite for boundary-element analysis of electromagnetic scattering, fluctuation-induced phenomena (Casimir forces and radiative heat transfer)…
Electrostatic field line and equipotential contour diagrams
📷 RAW image processing for Python, a wrapper for libraw
HW 3 skeleton for doing BDD with RottenPotatoes