ougni Goto Github PK
Type: User
Location: New York
Type: User
Location: New York
Code and hyperparameters for the paper "Generative Adversarial Networks"
Issues with Deep Learning of Aftershocks by DeVries
NYU PSYCH-GA 3405.002 / DS-GS 3001.006 : Computational cognitive modeling
A watch dog providing a peace in mind that your Chia farm is running smoothly 24/7.
Small Datasets for Quick Prototyping
Codes for Causal Inference using GPR
Notebooks for learning deep learning
A collection of interesting dynamic programming problems
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A highly efficient and modular implementation of Gaussian Processes in PyTorch
HMM Alpha beta recursion and Viterbi
ISO 3166-1 country lists merged with their UN Geoscheme regional codes in ready-to-use JSON, XML, CSV data sets
Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).
How to use PyTorch LSTMs for time series regression
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
Open Machine Learning Course
A sample of the notMNIST dataset in MNIST format so you can drop new data into your existing MNIST neural nets
sqldf for pandas
DS-GA 3001.001/.002 Probabilistic time series analysis Fall 2018
Quantum Algorithms & Applications in Python
A university quantum algorithms/computation course supplement based on Qiskit
Project description: https://medium.com/p/recession-prediction-using-machine-learning-de6eee16ca94?source=email-2adc3d3cd2ed--writer.postDistributed&sk=2f1dab9738769f9658634e61576a08bd
scikit-learn: machine learning in Python
Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)
Course page for DS-GA 3001.001 Modeling Time Series Data
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
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.