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All Algorithms implemented in Python
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
TradingAgents: Multi-Agents LLM Financial Trading Framework
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
A curated list of awesome Deep Learning tutorials, projects and communities.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation…
Graph Neural Network Library for PyTorch
☁️ Build multimodal AI applications with cloud-native stack
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
VIP cheatsheets for Stanford's CS 229 Machine Learning
PyTorch implementations of Generative Adversarial Networks.
Code samples for my book "Neural Networks and Deep Learning"
A collection of various deep learning architectures, models, and tips
📺 Discover the latest machine learning / AI courses on YouTube.
Must-read papers on graph neural networks (GNN)
Diem’s mission is to build a trusted and innovative financial network that empowers people and businesses around the world.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Companion webpage to the book "Mathematics For Machine Learning"
This repository contains implementations and illustrative code to accompany DeepMind publications
Python Implementation of Reinforcement Learning: An Introduction
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!