AlphatradingAn workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.
Stars: ✭ 144 (-1.37%)
Python camppython code for pratice
Stars: ✭ 144 (-1.37%)
Visualizing cnnsUsing Keras and cats to visualize layers from CNNs
Stars: ✭ 143 (-2.05%)
Machinelearning AzRepositorio del Curso de Machine Learning de la A a la Z con R y Python
Stars: ✭ 144 (-1.37%)
CiteomaticA citation recommendation system that allows users to find relevant citations for their paper drafts. The tool is backed by Semantic Scholar's OpenCorpus dataset.
Stars: ✭ 145 (-0.68%)
MainCS579: Online Social Network Analysis at the Illinois Institute of Technology
Stars: ✭ 143 (-2.05%)
PyengPython for engineers
Stars: ✭ 144 (-1.37%)
Cs231nhomework for CS231n 2017
Stars: ✭ 144 (-1.37%)
AnimlReproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".
Stars: ✭ 143 (-2.05%)
RlossRegularized Losses (rloss) for Weakly-supervised CNN Segmentation
Stars: ✭ 145 (-0.68%)
Multihead Siamese NetsImplementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.
Stars: ✭ 144 (-1.37%)
SqlcellSQLCell is a magic function for the Jupyter Notebook that executes raw, parallel, parameterized SQL queries with the ability to accept Python values as parameters and assign output data to Python variables while concurrently running Python code. And *much* more.
Stars: ✭ 145 (-0.68%)
Elmo TutorialA short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)
Stars: ✭ 145 (-0.68%)
Digital video introductionA hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).
Stars: ✭ 12,184 (+8245.21%)
Google2csvGoogle2Csv a simple google scraper that saves the results on a csv/xlsx/jsonl file
Stars: ✭ 145 (-0.68%)
Recurrent neural networkThis is the code for "Recurrent Neural Networks - The Math of Intelligence (Week 5)" By Siraj Raval on Youtube
Stars: ✭ 145 (-0.68%)
Part2 Stars: ✭ 143 (-2.05%)
Tf2 courseNotebooks for my "Deep Learning with TensorFlow 2 and Keras" course
Stars: ✭ 1,826 (+1150.68%)
Dlfs codeCode for the book Deep Learning From Scratch, from O'Reilly September 2019
Stars: ✭ 142 (-2.74%)
Deep DeepAdaptive crawler which uses Reinforcement Learning methods
Stars: ✭ 145 (-0.68%)
UnetU-Net Biomedical Image Segmentation
Stars: ✭ 144 (-1.37%)
Face RecognitionFace recognition and its application as attendance system
Stars: ✭ 143 (-2.05%)
Scipy con 2019Tutorial Sessions for SciPy Con 2019
Stars: ✭ 142 (-2.74%)
Mlmodelsmlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...
Stars: ✭ 145 (-0.68%)
Pytorch tutorialA set of jupyter notebooks on pytorch functions with examples
Stars: ✭ 142 (-2.74%)
Diy AlexaCommand recognition research
Stars: ✭ 143 (-2.05%)
GpA tutorial about Gaussian process regression
Stars: ✭ 141 (-3.42%)
Introduccion a python Curso onlineRepositorio en el que se encontrarán diversos materiales, códigos, videos y ejercicios para el aprendizaje del lenguaje Python.
Stars: ✭ 145 (-0.68%)
EssentiaC++ library for audio and music analysis, description and synthesis, including Python bindings
Stars: ✭ 1,985 (+1259.59%)
Ipython NotebooksInformal IPython experiments and tutorials. TensorFlow, machine learning/deep learning/RL, NLP applications.
Stars: ✭ 144 (-1.37%)
NbashotsNBA shot charts using matplotlib, seaborn, and bokeh.
Stars: ✭ 144 (-1.37%)
100daysofmlcodeMy journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.
Stars: ✭ 146 (+0%)
AltaThe Art of Literary Text Analysis
Stars: ✭ 145 (-0.68%)
TextbookPrinciples and Techniques of Data Science, the textbook for Data 100 at UC Berkeley
Stars: ✭ 145 (-0.68%)
PycroscopyScientific analysis of nanoscale materials imaging data
Stars: ✭ 144 (-1.37%)