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Mamy Ratsimbazafy's Projects

agent-smith icon agent-smith

Reinforcement Learning Agents & Algorithms exploration

apartment-interest-prediction icon apartment-interest-prediction

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

arch-data-science icon arch-data-science

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

arraymancer icon arraymancer

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

blocksmith icon blocksmith

Blockchain: Safe & fast interfacing network blocks and attestations with Casper FFG finality & LMD Ghost fork choice

chirp8 icon chirp8

A Chip-8 emulator written in Nim

constantine icon constantine

Constantine: modular, high-performance, zero-dependency cryptography stack for proof systems and blockchain protocols.

eips icon eips

The Ethereum Improvement Proposal repository

ercs icon ercs

The Ethereum Request for Comment repository

go icon go

The Go programming language

home-credit-default-risk icon home-credit-default-risk

Default risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline

hydra icon hydra

Parametric Integer Linear Programming Solver and Polyhedral compilation backend

jitterland icon jitterland

Experiments in lexing, parsing, interpreting, VM and JITs

laser icon laser

The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers

loop-fusion icon loop-fusion

Loop efficiently over a variadic number of containers

matlab-pjeuler icon matlab-pjeuler

Refreshing Functional Matlab-fu by doing Project Euler math problems

mckinsey-smartcities-traffic-prediction icon mckinsey-smartcities-traffic-prediction

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

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