'Primer to Machine Learning' is a comprehensive guide covering essential topics in machine learning, including statistics, data preprocessing, supervised and unsupervised learning, neural networks, deep learning, NLP, time series analysis, and reinforcement learning. Perfect for beginners and intermediates.
☆32Sep 1, 2024Updated last year
Alternatives and similar repositories for Primer-to-Machine-Learning
Users that are interested in Primer-to-Machine-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- code for paper "Two-Critic Deep Reinforcement Learning for Inverter-based Volt-Var Control in Active Distribution Networks"☆19Apr 10, 2024Updated 2 years ago
- Adaptive Machine Learning-Based Stock Prediction using Financial Time Series Technical Indicators☆10Dec 21, 2019Updated 6 years ago
- A Deep Reinforcement Learning model for high volume and frequency Forex Portfolio Management☆13Jan 11, 2023Updated 3 years ago
- Visualising what each LSTM cell learns from data.☆24Jan 26, 2020Updated 6 years ago
- wrapping albert via bert-for-tf2, implementing NER task☆25Jan 7, 2020Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Stock market data can be interesting to analyze and as a further incentive, strong predictive models can have large financial payoff. The…☆25May 2, 2018Updated 8 years ago
- Source code for the paper <Joint Control of Manufacturing and Onsite Microgrid System via Novel Neural-Network Integrated Reinforcement L…☆27Jan 23, 2024Updated 2 years ago
- This is the pytorch implementation of the UAI2023 paper "A Trajectory is Worth Three Sentences: Multimodal Transformer for Offline Reinf…☆11Oct 9, 2023Updated 2 years ago
- This is the official code for our paper entitled "Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning".☆10Jul 26, 2026Updated 3 weeks ago
- [ICLR 2025] Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning (SASR)☆12Aug 26, 2025Updated 11 months ago
- Explainability of Deep RL algorithms using graph networks and layer-wise relevance propagation.☆12Aug 20, 2024Updated last year
- Set custom icons for Safari bookmarks on iOS☆11Feb 22, 2020Updated 6 years ago
- Deploy Your First Deep Learning Model On Kubernetes With Python, Keras, Flask, and Docker 使用 Kubernetes 轻松部署深度学习模型☆11Oct 15, 2018Updated 7 years ago
- This is the official code repository for the paper "Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Ag…☆12Apr 9, 2026Updated 4 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A Swift package for interacting with selenium and undetected-chromedriver through python by using PythonKit.☆13Jun 21, 2025Updated last year
- Forecasting cryptocurrency price movements with graph neural networks.☆11Mar 13, 2020Updated 6 years ago
- Reference code for the paper ""Centroid-Guided Target-Driven Topology Control Method for UAV Ad-Hoc Networks Based on Tiny Deep Reinforce…☆14Oct 21, 2024Updated last year
- [AAMAS 2023] Code for the paper "Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning"☆12Feb 22, 2024Updated 2 years ago
- Official Pytorch Implementation of CMLO in the paper ”When to Update Your Model: Constrained Model-based Reinforcement Learning“☆10Nov 2, 2023Updated 2 years ago
- This Elgg plugin lets users preview MS Office files (doc, docx, xls, xlsx, ppt, pptx), Apple iWork pages, Adobe eps, and zip files using …☆12Aug 28, 2015Updated 10 years ago
- Feature Engineering and Predictive Modeling for Financial Time Series Data☆13Aug 4, 2020Updated 6 years ago
- RL for Energy Management of Microgrids☆11Mar 28, 2020Updated 6 years ago
- The official implementation of the paper "Deep Reinforcement Learning with Task-Adaptive Retrieval via Hypernetwork".☆12Feb 27, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code space for L4DC paper "State-wise Safe Reinforcement Learning With Pixel Observations"☆11Apr 5, 2024Updated 2 years ago
- Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.☆14Jul 31, 2023Updated 3 years ago
- This project leverages reinforcement learning to optimize electric vehicle (EV) charging schedules. By analyzing historical charging data…☆15Aug 11, 2024Updated 2 years ago
- detect face using MTCNN and tracking face with KCF/Kalman Filter. The assignment problem solved by Hungarian.☆11Nov 16, 2019Updated 6 years ago
- Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.☆11Aug 21, 2023Updated 2 years ago
- The python notebook is on googles new collabatory tool. Its a churn model being run on 3 different algorithms to compare.☆10Mar 3, 2018Updated 8 years ago
- We apply attention on LSTM to give more weight to the items which are more relevant for next-item prediction☆10Dec 26, 2018Updated 7 years ago
- Gym environment of simple microgrid simulation for Reinforcement Learning☆10Oct 12, 2022Updated 3 years ago
- PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting☆10Feb 9, 2020Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆13Dec 20, 2019Updated 6 years ago
- 天池全国社会保险大数据应用+精准社保/天池精准社保第一赛季☆10Oct 14, 2017Updated 8 years ago
- Compositional Lotka-Volterra☆16May 31, 2024Updated 2 years ago
- Code accompanying paper "Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinf…☆15Dec 2, 2023Updated 2 years ago
- ☆12Jul 6, 2023Updated 3 years ago
- 此仓库为《Tensorflow+keras深度学习人工智能实践应用》林大贵先生著中的代码实现。 使用Anaconda中的jupyter notebook实现。☆14Aug 8, 2018Updated 8 years ago
- Code for "Enhancing Cooperation through Selective Interaction and Long-term Experiences in Multi-Agent Reinforcement Learning", IJCAI24.☆14Feb 9, 2025Updated last year