Pinned Repositories
adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
aftershocks_issues
Issues with Deep Learning of Aftershocks by DeVries
CCM-site
NYU PSYCH-GA 3405.002 / DS-GS 3001.006 : Computational cognitive modeling
chiadog
A watch dog providing a peace in mind that your Chia farm is running smoothly 24/7.
datasets
Small Datasets for Quick Prototyping
ddd_gpr
Codes for Causal Inference using GPR
dlaicourse
Notebooks for learning deep learning
dynamic-programming
A collection of interesting dynamic programming problems
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
ougni's Repositories
ougni/adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
ougni/aftershocks_issues
Issues with Deep Learning of Aftershocks by DeVries
ougni/CCM-site
NYU PSYCH-GA 3405.002 / DS-GS 3001.006 : Computational cognitive modeling
ougni/chiadog
A watch dog providing a peace in mind that your Chia farm is running smoothly 24/7.
ougni/datasets
Small Datasets for Quick Prototyping
ougni/ddd_gpr
Codes for Causal Inference using GPR
ougni/dlaicourse
Notebooks for learning deep learning
ougni/dynamic-programming
A collection of interesting dynamic programming problems
ougni/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
ougni/gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
ougni/HMM
HMM Alpha beta recursion and Viterbi
ougni/ISO-3166-Countries-with-Regional-Codes
ISO 3166-1 country lists merged with their UN Geoscheme regional codes in ready-to-use JSON, XML, CSV data sets
ougni/learning-to-learn
Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).
ougni/lstm-forecasting
How to use PyTorch LSTMs for time series regression
ougni/MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
ougni/mlcourse.ai
Open Machine Learning Course
ougni/notMNIST-to-MNIST
A sample of the notMNIST dataset in MNIST format so you can drop new data into your existing MNIST neural nets
ougni/pandasql
sqldf for pandas
ougni/pTSAFall2018
DS-GA 3001.001/.002 Probabilistic time series analysis Fall 2018
ougni/qiskit-aqua
Quantum Algorithms & Applications in Python
ougni/qiskit-textbook
A university quantum algorithms/computation course supplement based on Qiskit
ougni/Recession-Predictor
Project description: https://medium.com/p/recession-prediction-using-machine-learning-de6eee16ca94?source=email-2adc3d3cd2ed--writer.postDistributed&sk=2f1dab9738769f9658634e61576a08bd
ougni/scikit-learn
scikit-learn: machine learning in Python
ougni/stock-prediction
ougni/texture-vs-shape
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)
ougni/timeseries2018
Course page for DS-GA 3001.001 Modeling Time Series Data
ougni/xgboost
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