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hands-on-data-structures-and-algorithms-in-rust

Hands-On Data Structures and Algorithms in Rust [Video], published by Packt

hands-on-data-structures-and-algorithms-with-rust

Hands-On Data Structures and Algorithms with Rust, published by Packt

hands-on-financial-trading-with-python

Hands-On Financial Trading with Python, published by Packt

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

hands-on-transfer-learning-with-python

Deep learning simplified by transferring prior learning using the Python deep learning ecosystem

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hawkes

Python class for generation and parameter estimation of multivariate Hawkes processes

high-frequency-trading-model-with-ib

A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

horovod

Distributed training framework for TensorFlow.

horseracingprediction

Using Support Vector regression algorithm to predict horse racing results

how-to-deploy-a-tensorflow-model-in-production

This is the code for the "How to Deploy a Tensorflow Model in Production" by Siraj Raval on YouTube

how-to-predict-stock-prices-easily-demo

How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube

how_to_deploy_a_keras_model_to_production

This is the code for the "How to Deploy a Keras Model to Production" by Siraj Raval on Youtube

hw-codes-for-quantnet-online-cpp-course

A collection of self-made solotions to exercises of the online course C++ Programming for Financial Engineering

hyperimp

Implementation of "An Efficient Approach for Assessing Hyperparameter Importance"

hyperopt-nnet

Hyperparameter optimization for neural networks

hyperopt-sklearn

Hyper-parameter optimization for sklearn

imagesimilarityusingcntk

Deep Neural Network based Image Similarity ranking on Azure using CNTK

imaging-time-series-to-improve-classification-and-imputation

Init creation

introdeeplearning

justext

Heuristic based boilerplate removal tool

kaiser

Node.js module for crawling the web

keikai-tutorial

A tutorial of a web spreadsheet component, keikai

keras

Deep Learning for humans

keras-extras

Extra batteries for Keras

keras_catvsdog_tf_estimator

Source for post "An Easy Guide to build new TensorFlow Datasets and Estimator with Keras Model"

kglib

Grakn Knowledge Graph Library (ML R&D)

latticelm

Software for unsupervised word segmentation and language model learning using lattices

lda2vec

lda2vec-tf

tensorflow port of the lda2vec model for unsupervised learning of document + topic + word embeddings