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

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Pape…

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.

<펭귄브로의 3분 딥러닝, 파이토치맛> 예제 코드

Object Detection and Image Segmentation with Detectron2

"모두를 위한 메타러닝" 책에 대한 코드 저장소

Robotics class

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

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