zmtkeke

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

LeetCodeAnimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

deeplearningbook-chinese

Deep Learning Book Chinese Translation

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

clip-as-service

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

annotated-transformer

An annotated implementation of the Transformer paper.

LeetCode

:pencil: Python / C++ 11 Solutions of All LeetCode Questions

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

LeetCode-Solutions

🏋️ Python / Modern C++ Solutions of All 3352 LeetCode Problems (Weekly Update)

EliteQuant

A list of online resources for quantitative modeling, trading, portfolio management

pytorch-generative-model-collections

Collection of generative models in Pytorch version.

awesome-sentence-embedding

A curated list of pretrained sentence and word embedding models

SeqGAN

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

leetCode

:pencil2: 算法相关知识储备 LeetCode with Python and JavaScript :books:

RCPapers

Must-read papers on Machine Reading Comprehension

cove

learning-to-reweight-examples

PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning

word2vec_pytorch

coqa-baselines

The baselines used in the CoQA paper

Pytorch-LRP

Basic LRP implementation in PyTorch

MnemonicReader

A PyTorch implementation of Mnemonic Reader for the Machine Comprehension task

logicnn

bert-token-embeddings

NeuralODE

Experiments with Neural ODEs and Adversarial Attacks

logic-rules-sentiment

Code and dataset for our EMNLP 2018 paper "Revisiting the Importance of Logic Rules in Sentiment Classification".

paraphrasing-squad

Datasets for the paper "Improving the Robustness of Question Answering Systems to Question Paraphrasing" (ACL 2019)

RNet-pytorch

R-Net with PyTorch

ERAC-VAML

From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence Prediction

reasonet_cntk