889 Open source projects that are alternatives of or similar to Deep Learning Papers Reading Roadmap

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.

List of awesome resources for machine learning-based algorithmic trading

Papers for deep neural network compression and acceleration

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

🤖 Implements of Reinforcement Learning algorithms.

Notes and comments about Deep Reinforcement Learning papers

Top 200 deep learning Github repositories sorted by the number of stars.

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

Hierarchical Object Detection with Deep Reinforcement Learning

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Deep Reinforcement Learning Notes

My notes on reinforcement learning papers

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

Attention-guided CNN for image denoising(Neural Networks,2020)

RAD: Reinforcement Learning with Augmented Data

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

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。

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

A collection of materials to help you learn about deep learning

A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.

LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

A PyTorch implementation of OpenAI's REPTILE algorithm

Repository for different network models related to flow/disparity (ECCV 18)

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

Training and inference code for ExpandNet

An offline deep reinforcement learning library

Hiding Images within other images using Deep Learning

Programmable Neural Network Compression

Pytorch Implementation of MuZero

SWA Object Detection

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

A list of papers on system design.

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

Open Source, Cloud Native, RESTful Search Engine Powered by Neural Networks

convolutional lstm implementation in pytorch

A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.

2D&3D human pose estimation

DeepPose implementation on TensorFlow. Original Paper http://arxiv.org/abs/1312.4659

A metric for Perceptual Image-Error Assessment through Pairwise Preference (PieAPP at CVPR 2018).

This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete and executable examples in Python.

StarNet

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.

Skeleton-based Action Recognition Papers and Small Notes and Top 2 Leaderboard for NTU-RGBD

MONeT framework for reducing memory consumption of DNN training

Unity Machine Learning Agents Toolkit

Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow