TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Practice your pandas skills!

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

Reference models and tools for Cloud TPUs.

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Jupyter notebooks from the scikit-learn video series

Tutorials for creating and using ONNX models

Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）

InferSent sentence embeddings

Code for Stanford CS224u

A replica of the AlphaZero methodology for deep reinforcement learning in Python

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)

Notebooks and various random fun

A pedagogical implementation of Autograd

Coursera Machine Learning - Python code

BERT for Multitask Learning

PyTorch로 시작하는 딥러닝 입문 CAMP (2017.7~2017.12) 강의자료

Sequence-to-Sequence Framework in PyTorch

An implementation of EWC with PyTorch

Implementation and evaluation of different approaches to get uncertainty in neural networks

Corrupted labels and label smoothing

Code for the intrinsic dimensionality estimate of data representations