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

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

A collection of various deep learning architectures, models, and tips

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

This repository contains demos I made with the Transformers library by HuggingFace.

TensorFlow Tutorials with YouTube Videos

Build your neural network easy and fast, 莫烦Python中文教学

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)

For extensive instructor led learning

An open-source library for GPU-accelerated robot learning and sim-to-real transfer.

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Coursera Open Courses from University of Toronto

Download Datasets and Ground Truths: https://github.com/TuSimple/tusimple-benchmark/issues/3

CLIPort: What and Where Pathways for Robotic Manipulation

Object detection in images, and tracking across video frames

Experiment on combining CLIP with SAM to do open-vocabulary image segmentation.

Jupyter notebook tutorials for mmpose

Don't feel pain to use Deformable Convolution

까먹으면 다시 보려고 정리합니다.

Object Detection and Image Segmentation with Detectron2

"모두를 위한 메타러닝" 책에 대한 코드 저장소

Code from "Intro to OpenAI Gym" tutorial video: https://youtu.be/8MC3y7ASoPs

A PyTorch implementation of Advantage weighted Actor-Critic (AWAC)

파이썬을 활용한 머신러닝 쿡북

Streamlit 튜토리얼 😁