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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
100 Days of ML Coding
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, illustrating how AI agents are transforming sectors such as healthcare, finance, education, retail, and more.
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 learning.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
FizzBuzz Enterprise Edition is a no-nonsense implementation of FizzBuzz made by serious businessmen for serious business purposes.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
llama3 implementation one matrix multiplication at a time
Python Implementation of Reinforcement Learning: An Introduction
Minimal and clean examples of machine learning algorithms implementations
A collection of important graph embedding, classification and representation learning papers with implementations.
Sample .NET Core REST API CQRS implementation with raw SQL and DDD using Clean Architecture.
Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity ...
A collection of research papers on decision, classification and regression trees with implementations.
A curated list of community detection research papers with implementations.
A list of deep learning implementations in biology
Basic implementations of standard cryptography algorithms, like AES and SHA-1.
Implementation of Peter Shirley's Ray Tracing In One Weekend book using Vulkan and NVIDIA's RTX extension.
C++ implementation of a fast hash map and hash set using robin hood hashing
Computational Geometry Unity library with implementations of intersection algorithms, triangulations like delaunay, voronoi diagrams, polygon clipping, bezier curves, ear clipping, convex hulls, mesh simplification, etc
A (mostly) pure-Rust implementation of various cryptographic algorithms.
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.
Detection Engineering is a tactical function of a cybersecurity defense program that involves the design, implementation, and operation of detective controls with the goal of proactively identifying malicious or unauthorized activity before it negatively impacts an individual or an organization.