CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

The fastai book, published as Jupyter Notebooks

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

An Open-Source Python3 tool for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free alternative to Mathpix, empowering seamless conv…

Paper reading notes on Deep Learning and Machine Learning

Pilot course for Robotics 101: Computational Linear Algebra

Devkit for the public 2019 Lyft Level 5 AV Dataset (fork of https://github.com/nutonomy/nuscenes-devkit)

3D Object detection using the ZED and Pytorch

SIFT Flow descriptor implemented on PyTorch

Finetuning a pre-trained pytorch object detection model on traffic lights dataset.

Object Detection : Pedestrians, Cars, Cyclists

3D shape classification by using voxel based 3D CNN using keras.

Training of a donkeycar repository using fastai V2.