Solutions to LeetCode by Swift
- leetcode
- swift
- algorithm
- data-structures
Repository Index
56,638 visible repositories in the index
289–312 of 542 · Most stars
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
:books: collection of JavaScript and TypeScript data structures and algorithms for education purposes. Source code bundle of JavaScript algorithms and data structures book
- javascript-algorithms
- algorithm
- data-structures
- typescript
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
- machine-learning
- economics
- causal-inference
- causality
Curated list of datasets and tools for post-training.
A curated list of awesome Jupyter projects, libraries and resources
- jupyter-notebook
- jupyter
- jupyterhub
- jupyterlab
TranslatedWith only a Python foundation, build your own embodied intelligence robot from scratch; step by step from scratch, build VLA/OpenVLA/SmolVLA/Pi0, and gain a deep understanding of embodied intelligence
- embodied-agent
- embodied-ai
- embodied-intelligence
- openvla
A curated list of awesome data visualization libraries and resources.
MiniOB is a compact database that assists developers in understanding the fundamental workings of a database.
- database
- learn-to-database
- mini-database
- classroom
A curated list of awesome responsible machine learning resources.
- fairness
- xai
- interpretability
- transparency
Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set
- python
- sorted
- list
- dict
A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.
OSINT & recon toolkit // 100+ tools, one-command installer, SOCMINT, GEOINT, network recon, dark web, forensics & more.
- cybersecurity
- data-breach
- goverment-data
- information-gathering
A library of common data structures and algorithms written in C.
- algorithm
- data-structures
- c
- library
KTH Algorithm Competition Template Library (... eller KTHs AC-tillverkande lapp)
- algorithm
- contest
- cpp
- data-structures
:earth_americas: machine learning tutorials (mainly in Python3)
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
- machine-learning
- deep-learning
- lstm
- human-activity-recognition
:electric_plug: Everything you need to know to create offline-first web apps.
- offline-first
- service-worker
- offline-data
- appcache
A curated list of Ant Design resources and related projects. The main idea is that everyone can contribute here, so we can have a central repository of informations about Ant Design that we keep up-to-date
A curated list of awesome tools for SQLAlchemy
- python
- sqlalchemy
- rdbms
- databases
Quantitative analysis, strategies and backtests
- quantitative-finance
- quantitative-trading
- portfolio-management
- risk-management
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
- templates
- opensource
- naas
- notebooks-templates
TranslatedCovers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning