Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
H4cker | 15,693 | 5 months ago | 2 | mit | Jupyter Notebook | |||||
This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), artificial intelligence security, vulnerability research, exploit development, reverse engineering, and more. | ||||||||||
Pytorch Forecasting | 3,439 | 10 | 5 months ago | 34 | July 26, 2020 | 464 | mit | Python | ||
Time series forecasting with PyTorch | ||||||||||
Time Series Prediction | 762 | 6 months ago | 11 | October 16, 2023 | 11 | mit | Python | |||
tfts: Time series deep learning models in TensorFlow | ||||||||||
Aifh | 735 | 6 years ago | 8 | apache-2.0 | Java | |||||
Artificial Intelligence for Humans | ||||||||||
Awesome Machine Learning Startups Berlin | 205 | 2 years ago | Python | |||||||
🤖 A curated list of machine learning & artificial intelligence startups in Berlin (Germany) | ||||||||||
Deep Learning For Hackers | 196 | 4 years ago | 2 | mit | Jupyter Notebook | |||||
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT) | ||||||||||
Half Life Resurgence | 64 | 5 months ago | 2 | agpl-3.0 | Lua | |||||
Recreation & expansion of NPCs, entities, and weapons from the Half-Life series into Garry's Mod! | ||||||||||
Examples For Data Scientists | 52 | 2 years ago | 3 | apache-2.0 | Jupyter Notebook | |||||
Mercure | 46 | 6 months ago | 10 | mit | JavaScript | |||||
mercure DICOM Orchestrator | ||||||||||
Machinera 2020 | 19 | 3 years ago | mit | |||||||
This is an AI Series where we will cover Machine Learning and Deep Learning topics from the very basics. |