Apprentissage automatique · GitHub

Framework and Library for Distributed Online Machine Learning

Pytorch implementation of set transformer

PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series

Combinatorial optimization layers for machine learning pipelines

Kaggle datascience bowl 2017

A reinforcement learning package for Julia

[NeurIPS 2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Machine learning library for Node.js

RoFormer V1 & V2 pytorch

Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).

You can easily calculate FVD, PSNR, SSIM, LPIPS for evaluating the quality of generated or predicted videos.

TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)

Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement

Official Pytorch Implementation of "Remote Sensing Image Change Detection with Transformers"

D's Machine Learning is a machine learning toolkit for python,focus on rightness but efficiency

Data science analyses delving into National Hockey League (NHL) ice hockey statistics

GPT-2-style LLM built from scratch in C/CUDA with hand-written backprop, BPE tokenizer, FlashAttention, pretraining, and SFT.

Automated machine learning protocols that start from CSV databases of descriptors or SMILES and produce publication-quality results in Chemistry studies with only one command line.