Machine learning topic
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
bertml
Use common pre-trained ML models in Deno!
pyltr
Python learning to rank (LTR) toolkit
s-vae-pytorch
Pytorch implementation of Hyperspherical Variational Auto-Encoders
s-vae-tf
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
fairseq-tagging
a Fairseq fork for sequence tagging/labeling tasks
RusticSOM
Rust library for Self Organising Maps (SOM).
gann
[[ ARCHIVED ]] gann(go-approximate-nearest-neighbor) is a library for Approximate Nearest Neighbor Search written in Go
hf-hub-lightning
A PyTorch Lightning Callback for pushing models to the Hugging Face Hub 🤗⚡️
paradox
Deep-Learning framework from scratch
Face-Recognition
Machine Learning project to recognise faces from an Image just like facebook or video stream