熊俊杰's repositories
bert-as-service
Mapping a variable-length sentence to a fixed-length vector using BERT model
text_classification
all kinds of text classificaiton models and more with deep learning
algorithms
Minimal examples of data structures and algorithms in Python
neural-network-zero2one-
learning neural network in python
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
allennlp
An open-source NLP research library, built on PyTorch.
awesome-quant
**的Quant相关资源索引
bert
TensorFlow code and pre-trained models for BERT
Chatbot
基於向量匹配的情境式聊天機器人
ChatBotCourse
自己动手做聊天机器人教程
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
faiss
A library for efficient similarity search and clustering of dense vectors.
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
MatchZoo
MatchZoo is a toolkit for text matching. It was developed to facilitate the designing, comparing, and sharing of deep text matching models.
metabase
The simplest, fastest way to get business intelligence and analytics OVER WEB DATA to everyone in your company :yum:
models
Models and examples built with TensorFlow
PRML-2
PRML algorithms implemented in Python
redis
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, HyperLogLogs, Bitmaps.
state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
textClassifier
tensorflow implementation
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.