arnocandel

TensorFlow-Examples

TensorFlow tutorials and code examples for beginners

ultrasound-nerve-segmentation-1

Kaggle Ultrasound Nerve Segmentation competition [Keras]

LightGBM

LightGBM is a fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

neural-art-transfer

Tensorflow implementation of the paper "A Neural Algorithm of Artistic Style"

ultrasound-nerve-segmentation

Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras

Visual-Attention-Model

alpaca-lora

Instruct-tune LLaMA on consumer hardware

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

cpp-ethereum

Ethereum miner with CUDA and stratum support

CUDA

GPU-accelerated LIBSVM is a modification of the original LIBSVM that exploits the CUDA framework to significantly reduce processing time while producing identical results. The functionality and interface of LIBSVM remains the same. The modifications were done in the kernel computation, that is now performed using the GPU.

cuda-rpca-admm

A CUDA implementation of performing Robust PCA for foreground-background separation, using ADMM for optimization.

cudpp

CUDA Data Parallel Primitives Library

cvxflow

DeepQA

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

feather

Feather: fast, interoperable binary data frame storage for Python, R, and more powered by Apache Arrow

gbm

Gradient boosted models

Grasp-and-lift-EEG-challenge

Code and documentation for the winning sollution to the Grasp-and-Lift EEG Detection challenge

gtk_perfbar

Kaggle-1

Codes for Kaggle Competitions

kaggle-allstate-claims-severity

2nd place solution for Allstate Claims Severity competition at Kaggle

kaggle_ndsb2017

Kaggle datascience bowl 2017

kmeans-1

kmeans

mkl-dnn

Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)

parenting

Parenting for Geeks

PINNs

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

santander_2016

The 3rd place solution for Santander Customer Satisfaction competition

Steal-ML

Model extraction attacks on Machine-Learning-as-a-Service platforms.

tensorflow

Computation using data flow graphs for scalable machine learning

thrust

Thrust is a parallel algorithms library which resembles the C++ Standard Template Library (STL).

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow