1007 Open source projects that are alternatives of or similar to Ml Systems

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

Image Deblurring using Generative Adversarial Networks

Image reconstruction done with untrained neural networks.

Dynamic Image Networks for Action Recognition

Collection of structured data snippets in Google preferred JSON-LD format.

A simple interface for editing natural photos with generative neural networks.

A machine learning experiment

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

A sign language interpreter using live video feed from the camera.

Sparse Optimisation Research Code

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

svg path sorter for more efficient (pen)plotting.

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

Access v8 Engine Natives easily in Chrome & Node

Repository has been moved: https://github.com/adobe/antialiased-cnns

🚀 🐍 Optimizes Python bytecode calculating linear recurrences

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

⚡️ A lightning fast HTTP router

A message-passing distributed computing framework for node.js

brain.js is a GPU accelerated library for Neural Networks written in JavaScript.

Jupyter-friendly Python interface for C++ MINUIT2

A Clojure dataframe library that runs on Spark

Finetuning AlexNet, VGGNet and ResNet with TensorFlow

This's an implementation of deepmind Visual Interaction Networks paper using pytorch

Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)

🚵 a Journey of Performance Optimizing in Frontend 🚀

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

Sequential model-based optimization with a `scipy.optimize` interface

An abstraction layer for mathematical optimization solvers.

A specially designed light version of Fast AutoAugment

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

An exceptionally fast, thorough and tiny unused-CSS cleaner

On-device Neural Engine

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

OSMDeepOD - OpenStreetMap (OSM) and Machine Learning (Deep Learning) based Object Detection from Aerial Imagery (Formerly also known as "OSM-Crosswalk-Detection").

🚀 R package: future.apply - Apply Function to Elements in Parallel using Futures

CNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

Naszilla is a Python library for neural architecture search (NAS)

Simple Convolutional Neural Network Library

A CLI React performance optimization tool that identifies potential unnecessary re-rendering

Implementation of Very Deep Convolutional Neural Network for Text Classification

Toolbox for Bayesian Optimization and Model-Based Optimization in R

An intuitive remotely-accessible system performance monitoring and task management tool for servers and headless Raspberry Pi setups.

Some of my scripts to automate the boring stuff around me

MTuner is a C/C++ memory profiler and memory leak finder for Windows, PlayStation 4 and 3, Android and other platforms

Openwrt firmware with SFE and FlowOffload

🦐 Electromagnetic Simulation + Automatic Differentiation

A module which wraps Hydra and ExpressJS into a library for building distributed applications - such as microservices

Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)

Squid – type-safe metaprogramming and compilation framework for Scala

A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

Quantitative Interview Preparation Guide, updated version here ==>

Cuneiform distributed programming language

Mathematical tools (interpolation, dimensionality reduction, optimization, etc.) written in C++11 with Eigen

A journey into Convolutional Neural Network visualization