Top 21 Python Research Projects
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.Project mention: mlfinlab: open source library maintained by hudson and thames though much of the content has moved to a subscription model. Idea is to implement academic research in python code and aggregate it as a package. Sources from [Journal of financial data s | reddit.com/r/algoprojects | 2021-09-22
A library of reinforcement learning components and agentsProject mention: Applied resources in Pytorch? | reddit.com/r/reinforcementlearning | 2021-07-04
Scout APM: A developer's best friend. Try free for 14-days. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.
Contextualise is a simple but effective tool particularly suited for organising information-heavy projects and activities consisting of unstructured and widely diverse data and information resourcesProject mention: Contextualise: Structured Thinking | reddit.com/r/Python | 2021-06-10
Contextualise is a simple but effective tool particularly suited for organising information-heavy projects and activities consisting of unstructured and widely diverse data and information resources: https://github.com/brettkromkamp/contextualise. Contextualise's main dependency is TopicDB, an open source topic maps-based graph store implemented in Python. The Contextualise web application is implemented with the Flask framework.
A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.Project mention: Accelerate PPO training | reddit.com/r/reinforcementlearning | 2021-07-22
Open-Source Ransomware As A Service for Linux, MacOS and WindowsProject mention: how to implement - RAASNET: RANSOMWARE | reddit.com/r/hacking | 2021-08-08
PyTorch Lightning + Hydra. A very general, feature-rich template for rapid and scalable ML experimentation with best practices. ⚡🔥⚡Project mention: Our template to kickstart your pytorch projects, with list of best practices. Minimal boilerplate code. Leverages Lightning + Hydra. Focused on scalability, reproducibility and fast experimentation. | reddit.com/r/pytorch | 2021-05-03
and many more! (checkout the #Your Superpowers section of the readme)
Run Linux Software Faster and Safer than Linux with Unikernels.
Machine Learning on Sequential Data Using a Recurrent Weighted Average
High Fidelity Simulator for Reinforcement Learning and Robotics Research. (by BYU-PCCL)Project mention: [P] Doing a clone of Rocket League for AI experiments. Trained an agent to air dribble the ball. | reddit.com/r/MachineLearning | 2020-12-27
Tangentially related, but people interested in game engines for RL should check out Holodeck built on Unreal https://github.com/byu-pccl/holodeck
Mastering Atari with Discrete World ModelsProject mention: Google AI, DeepMind And The University of Toronto Introduce DreamerV2, The First Reinforcement Learning (RL) Agent That Outperforms Humans on The Atari Benchmark | reddit.com/r/artificial | 2021-02-23
Active learning for systematic reviewsProject mention: [R] Researchers at Utrecht University Develop an Open-Source Machine Learning (ML) Framework Called ASReview to Help Researchers Carry Out Systematic Reviews | reddit.com/r/MachineLearning | 2021-03-06
Generic template to bootstrap your PyTorch project with PyTorch Lightning, Hydra, W&B, DVC, and Streamlit.Project mention: [P] Generic template to bootstrap your PyTorch project with PyTorch Lightning, Hydra, W&B, DVC, and Streamlit | reddit.com/r/MachineLearning | 2021-03-31
A library of multi-agent reinforcement learning components and systemsProject mention: [R] Mava: a research framework for distributed multi-agent reinforcement learning | reddit.com/r/MachineLearning | 2021-07-06
https://arxiv.org/abs/2107.01460 Mava, a scalable framework for research in multi-agent reinforcement learning, contains implementation for several multi-agent systems like multi-agent DQN (MADQN), MADDPG, MAPPO, MAD4PG, DIAL, QMIX, and VDN, and integrates well with multi-agent RL environments like PettingZoo, Flatland, OpenSpiel, RoboCup, and SMAC. On GitHub: https://github.com/instadeepai/Mava
Asynchronous Distributed Hyperparameter Optimization. (by Epistimio)
QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.Project mention: Show HN: QuickAI Version 2 Released | news.ycombinator.com | 2021-08-17
SHIFT15M: multiobjective large-scale fashion dataset with distributional shiftsProject mention: SHIFT15M: Multiobjective Large-scale Fashion Dataset with Distributional Shifts | dev.to | 2021-09-09
PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) codeProject mention: GitHub Copilot: your AI pair programmer | news.ycombinator.com | 2021-06-29
Transformers (GPT-3) aren't quite _supervised_, but it does require valid samples.
Agree 100% with RL being the path forward. You probably have already seen ( https://venturebeat.com/2021/06/09/deepmind-says-reinforceme... ). Personally I'm really stoked for this https://github.com/Stable-Baselines-Team/stable-baselines3-c... , which will make it a lot easier for rubes like me to use RL.
UNOFFICIAL Python API to interface with Parler.com
A Cryptoeconomic Traffic Analysis of Bitcoin's Lightning NetworkProject mention: Lightning Node Off-Chain Transaction Data | reddit.com/r/lightningnetwork | 2021-06-25
Real life data on LN is by design very difficult to obtain, and as a result it tends to be quite valuable. My blockchain teacher at uni implemented a LN traffic simulator for data analysis purposes, you might find it useful by itself or be willing to improve it for your purposes.
An experiment to demonstrate the biases and predictability of our world.Project mention: Data Visualization project to demonstrate the biases and predictability of our world | reddit.com/r/visualization | 2021-03-28
What are some of the best open-source Research projects in Python? This list will help you:
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