The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

All Algorithms implemented in Python

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

List of references and online resources related to data science, machine learning and deep learning.

This is improved on mathematica keygen(this code can also use on system modeler).It has full tutorials and you can input your own actkey.

Open-source offline translation library written in Python

A minimal GPU design in Verilog to learn how GPUs work from the ground up

The fastai deep learning library

bird detection by yolov3

Use yolo to detect birds, on kotlin jvm.

🧮 A collection of resources to learn mathematics for machine learning

Implementing nn.Conv2d from scratch (in CUDA)

Sparse coding (Olshausen & Field, 1996)