Sparse Evolutionary Artificial Neural NetworksAlways sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).
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Awesome System For Machine LearningA curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.
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RadRAD: Reinforcement Learning with Augmented Data
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Chanlun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。
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DarwinEvolutionary Algorithms Framework
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AdnetAttention-guided CNN for image denoising(Neural Networks,2020)
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NEATESTNEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training
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CurlCURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
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exactEXONA: The Evolutionary eXploration of Neural Networks Framework -- EXACT, EXALT and EXAMM
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Trending Deep LearningTop 100 trending deep learning repositories sorted by the number of stars gained on a specific day.
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Noreward Rl[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
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SoftlearningSoftlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
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Deep Learning DrizzleDrench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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TrixiManage 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.
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Detection 2016 NipswsHierarchical Object Detection with Deep Reinforcement Learning
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Machine Learning And Data ScienceThis 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.
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GlassesHigh-quality Neural Networks for Computer Vision 😎
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Easy Neural OdeCode for the paper "Learning Differential Equations that are Easy to Solve"
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Pygmo2A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
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Finrl LibraryFinRL: Financial Reinforcement Learning Framework. Please star. 🔥
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Baby A3cA high-performance Atari A3C agent in 180 lines of PyTorch
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PaddlexPaddlePaddle End-to-End Development Toolkit(『飞桨』深度学习全流程开发工具)
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Policy GradientMinimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras
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LivianetThis repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"
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Deep SteganographyHiding Images within other images using Deep Learning
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DjlAn Engine-Agnostic Deep Learning Framework in Java
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ShainetSHAInet - a pure Crystal machine learning library
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Robot Grasp DetectionDetecting 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.
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Ml AgentsUnity Machine Learning Agents Toolkit
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Go Bot DrlGoal-Oriented Chatbot trained with Deep Reinforcement Learning
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MinimalrlImplementations of basic RL algorithms with minimal lines of codes! (pytorch based)
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Pix2codepix2code: Generating Code from a Graphical User Interface Screenshot
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AlgobookA beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨
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AognetCode for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"
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Ctranslate2Fast inference engine for OpenNMT models
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