1188 Open source projects that are alternatives of or similar to Watermark Remover

机器学习、深度学习、自然语言处理、计算机视觉、各种算法等AI领域相关技术的路线、教程、干货分享。笔记有：机器学习实战、剑指Offer、cs231n、cs131、吴恩达机器学习、cs224n、python自然语言处理实战

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Season 2 of @twosigma's artificial intelligence programming challenge

人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

Lets Learn AI

(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

StarCraft II - pysc2 Deep Reinforcement Learning Examples

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

🔥 🔥 🔥 SmartOpenCV是一个OpenCV在Android端的增强库，解决了OpenCV Android SDK在图像预览方面存在的诸多问题，且无需修改OpenCV SDK源码，与OpenCV的SDK解耦

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

Cloud-native Financial Reinforcement Learning

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

DepthAI Python API utilities, examples, and tutorials.

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai

Open-source simulator for autonomous driving research.

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

A collection of materials to help you learn about deep learning

machine learning

Code repository for the Animal AI Olympics competition

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A small convolution neural network deep learning framework implemented in c++.

Python implementation of some numerical (optimization) methods

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

End-to-End Object Detection Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign

Develop production ready deep learning code, deploy it and scale it

Actor-critic with experience replay

Forex algorithmic trading framework using OANDA REST API.

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

Modularized Implementation of Deep RL Algorithms in PyTorch

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

👔 💼 Build fast 🚀 and easy multiple beautiful resumes and create your best CV ever! Made with Vue and LESS.

通用深度学习推理服务，可在生产环境中快速上线由TensorFlow、PyTorch、Caffe框架训练出的深度学习模型。

Antmicro's open hardware baseboard for the NVIDIA Jetson Nano and Jetson Xavier NX

AI-powered Smart Robotic Process Automation 🤖

Face identification with CNN + TPE using Keras

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

A fast Evolution Strategy implementation in Python

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。

Visualizer for neural network, deep learning, and machine learning models

Reinforcement learning with A* and a deep heuristic

A Hearthstone AI based on Monte Carlo tree search and neural nets written in modern C++.

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🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

Learn OpenCV : C++ and Python Examples

Venom is the most complete javascript library for Whatsapp, 100% Open Source.