tgy1221

SME_release

SME-Net: Sparse Motion Estimation for Parametric Video Prediction through Reinforcement Learning

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

pytorch-beginner

pytorch tutorial for beginners

code-academy-ml

Machine Learning classes from code academy.

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

mathworks_autonomous_driving_project

coding-interview-university

A complete computer science study plan to become a software engineer.

DrQA

Reading Wikipedia to Answer Open-Domain Questions

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

few-shot-ssl-public

Meta Learning for Semi-Supervised Few-Shot Classification

taskonomy

Taskonomy: Disentangling Task Transfer Learning [Best Paper, CVPR2018]

DeepLearning

CS285_Fa19_Deep_Reinforcement_Learning

My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

Reinforcement-Learning-for-Self-Driving-Cars

Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.

tensorflow

An Open Source Machine Learning Framework for Everyone

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

Machine-Learning-in-90-days