2660 Open source projects that are alternatives of or similar to Awesome System For Machine Learning

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

Create a concurrent video analysis pipeline featuring multistream face and human pose detection, vehicle attribute detection, and the ability to encode multiple videos to local storage in a single stream.

A curated list of GAN & Deepfake papers and repositories.

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

Awesome Resources for Advanced Computer Vision Topics

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

This repo is about NAS

Action recognition using soft attention based deep recurrent neural networks

RAD: Reinforcement Learning with Augmented Data

Convenient Power System Modelling and Analysis based on PYPOWER and pandas

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.

Model Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors

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

Collection of papers in the field of distributed systems, game theory, cryptography, cryptoeconomics, zero knowledge

Build an application that alerts you when someone enters a restricted area. Learn how to use models for multiclass object detection.

Monitor mechanical bolts as they move down a conveyor belt. When a bolt of an irregular size is detected, this solution emits an alert.

Observe workers as they pass in front of a camera to determine if they have adequate safety protection.

Detect various irregularities of a product as it moves along a conveyor belt.

Repo and code of the IEEE UIC paper: Train++: An Incremental ML Model Training Algorithm to Create Self-Learning IoT Devices

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

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

This is a repository for an object detection inference API using the Tensorflow framework.

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 polyhedral compiler for expressing fast and portable data parallel algorithms

https://arxiv.org/abs/1707.00836

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。

Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.

Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017

Distributed Keras Engine, Make Keras faster with only one line of code.

Task-based end-to-end model learning in stochastic optimization

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

Summaries of machine learning papers

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

My Distributed Systems references

Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018

kube-applier enables automated deployment and declarative configuration for your Kubernetes cluster.

Managed Machine Learning Systems and Internet of Things Live Lesson

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

Predict performance issues with manufacturing equipment motors. Perform local or cloud analytics of the issues found, and then display the data on a user interface to determine when failures might arise.

🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools

This is a repository for an nocode object detection inference API using the Yolov4 and Yolov3 Opencv.

A Python framework for program synthesis with a focus on Automated Machine Learning.

Detect various irregularities of a product as it moves along a conveyor belt.

HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs

The code for the SRDQN algorithm to train an agent for the beer game problem

AI 尬舞机

A curated list of awesome Distributed Deep Learning resources.

OptNet: Differentiable Optimization as a Layer in Neural Networks

Infrastructure test, mainly useful for sysadmin teachers and making contests

Embedded and mobile deep learning research resources

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

A curated list to learn about distributed systems

List of awesome resources for machine learning-based algorithmic trading

Serve your Rubix ML models in production with scalable stand-alone model inference servers.

The Fastest DNN Running Framework on Web Browser

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

Hierarchical Object Detection with Deep Reinforcement Learning

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems