Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
- cpp
- algorithm
- algorithms-implemented
- data-structures
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Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Caffe: a fast open framework for deep learning.
An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!
TranslatedClose, paragraph-by-paragraph readings of classic and new deep learning papers
💫 Industrial-strength Natural Language Processing (NLP) in Python
FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
Visualizer for neural network, deep learning and machine learning models
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.
OpenMMLab Detection Toolbox and Benchmark
PyTorch Tutorial for Deep Learning Researchers
Production-grade Rust-native trading engine with deterministic event-driven architecture
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Roadmap to becoming an Artificial Intelligence Expert in 2022
TranslatedWhat? You dare trust AI to have your back? I bet you don't, so come learn the coolest, safest, and fastest language of the AI era. This book offers comprehensive and in-depth explanations, vivid and fitting examples, and Dove-chocolate-smooth content. This may be the most painstakingly written Rust tutorial in Chinese available today / Book
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things DevOps, including Principles, Processes, Tooling and Use Cases surrounding this vast topic.
A playbook for systematically maximizing the performance of deep learning models.
Translatedabout learning Spring Boot via examples. Spring Boot tutorials and tech stack example code, quick and easy tutorials to get started.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
:memo: An awesome Data Science repository to learn and apply for real world problems.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Simulation platform for general-purpose robotics & embodied AI learning.