599 Open source projects that are alternatives of or similar to Safe

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

An attempt at a PyTorch implimentation of "Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation"

CFG explorer for binaries

💾🔍🧮 BinaryKit helps you to break down binary data into bits and bytes, easily access specific parts and write data to binary.

HyperPose: A Collection of Real-time Human Pose Estimation

A simple GUI tool for generating adversarial poses of objects.

Hamming distance and bit counting primitives in Go (golang)

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

🍋Machine Learning library from scratch.🍋

Getting started with AllenNLP and PyTorch by training a tweet classifier

a simple cross-platform resource compiler for c++ projects

🏖TagEditor - Annotation tool for spaCy

YerevaNN blog

List of AI Residency & Research programs, Ph.D Fellowships, Research Internships

A small Unity AI game built with ML-agents v0.5

Machine learning, in numpy

Bitmap representation with bitwise operations

All DeepLearning4j projects go here.

Notes on Deep Reinforcement Learning for Natural Language Processing papers

Race and ethnicity Imputation from Disease history with Deep LEarning

serialize native Nim types to strings, streams, or sockets ⛄

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017

Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference

Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)

repo with challenge material for riceteacatpanda (2020)

📝 Подборка ресурсов по машинному обучению

Python package that implements Continuous Time Recurrent Neural Networks (CTRNNs)

Machine learning and data science blog.

Utilities for working with binary data and bit manipulation in Dart.

Automatic Differentiation Library for Computational and Mathematical Engineering

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Research code need not be ugly.

High-efficiency floating-point neural network inference operators for mobile, server, and Web

Awesome list of software that I use to do research in medical imaging.

pyclustring is a Python, C++ data mining library.

Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

Datasets, tools, and benchmarks for representation learning of code.

A resource repository for 3D machine learning

An open-source platform for automating tasks using machine learning models

Training neural models with structured signals.

Generic and fast binary serializer for Go

TensorFlow and Deep Learning Tutorials

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

Scala combinator library for working with binary data

A binary encoder / decoder implementation in Rust.

DeepFaceLab is the leading software for creating deepfakes.

Koç University deep learning framework.

Keras implementations of Generative Adversarial Networks.

binary pastebin server

A general, modular, and programmable architecture search framework

🎉 create a single executable out of your node.js apps

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

The Binary Analysis Metadata tool gathers information about Windows binaries to aid in their analysis. #nsacyber

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.