zhenfengcao Goto Github PK
Name: Zhenfeng Cao
Type: User
Bio: Complex systems, Machine Learning, Big data analysis.
Location: USA
Blog: zcao.info
Name: Zhenfeng Cao
Type: User
Bio: Complex systems, Machine Learning, Big data analysis.
Location: USA
Blog: zcao.info
Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow
Python SDK for PayPal RESTful APIs
树莓派语音识别机器人(项目转移到autohome项目)
Deep Planning Network: Control from pixels by latent planning with learned dynamics
PyTorch tutorials demonstrating modern techniques with readable code
Pragmatic Segmenter is a rule-based sentence boundary detection gem that works out-of-the-box across many languages.
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
Python implementation of CMA-ES
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
Code samples used on cloud.google.com
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
A PyTorch implementation of the YOLO v3 object detection algorithm
PyTorch wrapper for FFTs
A small piece of code that recolors an image using the coloring style of another image.
A PyTorch Implementation of "Recurrent Models of Visual Attention"
Python implementation of Reinforcement Learning: An Introduction
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
Scrapy, a fast high-level web crawling & scraping framework for Python.
Sequence to Sequence Learning with Keras
Tools and recipes to train deep learning models and build services for NLP tasks such as text classification, semantic search ranking and recall fetching, cross-lingual information retrieval, and question answering etc.
a simple neural machine translation code
A PyTorch Implementation of End-to-End Models for Speech-to-Text
Pure python implementation of SNN
SRS is a RTMP/HLS/WebRTC/SRT/GB28181 streaming cluster, high efficiency, stable and simple.
Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.
A library for generalized sequence to sequence models
TensorFlow Tutorial and Examples for Beginners with Latest APIs
中文古诗自动作诗机器人,屌炸天,基于tensorflow1.4 api,正在积极维护升级中,快star,保持更新!
CatBoost tutorials repository
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.