minas1900

minas1900's Stars

• norvig/pytudes

  Python programs, usually short, of considerable difficulty, to perfect particular skills.

  Language:Jupyter Notebook23.2k2.4k

• bmcmenamin/fa_kit

  Factor Analysis Kit

  Language:Python195

• teddyroland/python-biplot

  Generates simple biplot using common scientific Python packages

  Language:Python3516

• catboost/tutorials

  CatBoost tutorials repository

  Language:Jupyter Notebook1k413

• scikit-optimize/scikit-optimize

  Sequential model-based optimization with a `scipy.optimize` interface

  Language:Python2.7k547

• AIworx-Labs/chocolate

  A fully decentralized hyperparameter optimization framework

  Language:Python12141

• yumoxu/stocknet-dataset

  A comprehensive dataset for stock movement prediction from tweets and historical stock prices.

  587173

• filangelos/qtrader

  Reinforcement Learning for Portfolio Management

  Language:Jupyter Notebook456168

• catboost/catboost

  A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

  Language:Python8.1k1.2k

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook23.1k3.3k

• Luolc/AdaBound

  An optimizer that trains as fast as Adam and as good as SGD.

  Language:Python2.9k330

• RuiShu/micro-projects

  A collection of small code snippets for learning how to code

  Language:Jupyter Notebook5824

• aymericdamien/TensorFlow-Examples

  TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  Language:Jupyter Notebook43.4k14.9k

• MrGemy95/Tensorflow-Project-Template

  A best practice for tensorflow project template architecture.

  Language:Python3.6k816

• rtqichen/ffjord

  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

  Language:Python631141

• rtqichen/torchdiffeq

  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

  Language:Python5.7k938

• lmcinnes/umap

  Uniform Manifold Approximation and Projection

  Language:Python7.5k811

• iskandr/fancyimpute

  Multivariate imputation and matrix completion algorithms implemented in Python

  Language:Python1.3k178

• sjev/trading-with-python

  Code that is (re)usable in in daily tasks involving development of quantitative trading strategies.

  Language:Jupyter Notebook319136

• Separius/BERT-keras

  Keras implementation of BERT with pre-trained weights

  Language:Python813196

• apache/mxnet

  Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

  Language:C++20.8k6.8k

• scikit-learn-contrib/hdbscan

  A high performance implementation of HDBSCAN clustering.

  Language:Jupyter Notebook2.8k509

• Mcompetitions/M4-methods

  Data, Benchmarks, and methods submitted to the M4 forecasting competition

  Language:R749317

• clab/dynet

  DyNet: The Dynamic Neural Network Toolkit

  Language:C++3.4k702

• code-terminator/DilatedRNN

  Tensorflow implementation for DilatedRNN

  Language:Python34760

• bfs18/nsynth_wavenet

  parallel wavenet based on nsynth

  Language:Python10731

• kzuiderveld/deeplearning1

  Experiments for Jeremy Howard's deep learning courses

  Language:Jupyter Notebook3910

• Arsey/keras-transfer-learning-for-oxford102

  Keras pretrained models (VGG16, InceptionV3, Resnet50, Resnet152) + Transfer Learning for predicting classes in the Oxford 102 flower dataset

  Language:Python272107

• brain-research/self-attention-gan

  Language:Python1k174

• brain-research/ncp

  Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors

  Language:Python6213