Stars
A workshop that teaches you how to build your own coding agent. Similar to Roo code, Cline, Amp, Cursor, Windsurf or OpenCode.
280+ free n8n automation templates — ready-to-use workflows for Gmail, Telegram, Slack, Discord, WhatsApp, Google Drive, Notion, OpenAI, and more. AI agents, RAG chatbots, email automation, social …
LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and…
A knowledge graph-based approach to drug repurposing
Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
A source of pyImageSearch university courses
Practical Python Programming (course by @dabeaz)
PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development
A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.
A collection of resources on applications of multi-modal learning in medical imaging.
Starting kit for the NeurIPS 2023 unlearning challenge
BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks
aymeric75 / Deep-reinforcement-learning-with-pytorch
Forked from sweetice/Deep-reinforcement-learning-with-pytorchPyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
building machine learning system
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
StableLM: Stability AI Language Models
Fusing Histology and Genomics via Deep Learning - IEEE TMI
Notebook for accessing local webcam within Google Colab on Images and Videos. Basic tutorial running face detection on webcam image and video.
A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution (CVPR2022)
10 Weeks, 20 Lessons, Data Science for All!
Learning on time series forecasting
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
😎 A curated list of awesome practical Metric Learning and its applications
The implementation of the Neural Architecture Search based at the Fedot framework
Explaining the Math of how neural networks learn
Deep learning tutorials on various tasks using PyTorch