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nlp

nlp_exampls

nngp

Deep neural network kernel for Gaussian process

notes

Notes on data science, machine learning, artificial intelligence, history, and social science.

personae

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

primus

prml-python

pyfinance

python-machine-learning-cookbook

Code files for Python-Machine-Learning-Cookbook

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

random-stuff

Random stuff I've been working on

recommendations

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcementlearning_notes

scipy-cookbook

Scipy Cookbook

spotlight

Deep recommender models using PyTorch.

stockmarketanalysis

Using the power of Big Data Tools to analyze Stock Market

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

tea

tensorflow-deepfm

Tensorflow implementation of DeepFM for CTR prediction.

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos

tensorflow_template_application

TensorFlow template application for deep learning

test-stock-prediction-algorithms

Use deep learning, genetic programming and other methods to predict stock and market movements

time-series---deep-learning---state-of-the-art

Scientific time series and deep learning state of the art

xai

XAI - An eXplainability toolbox for machine learning

xlearn

High Performance, Easy-to-use, and Scalable Machine Learning Package (C++, Python, R)