TranslatedAI algorithm job-hunting guide (covering preparation guides, problem-solving practice guides, internal referrals, a list of AI companies, and other materials)
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A curated List of Coding Questions Asked in FAANG Interviews
- hacktoberfest
- interview-questions
- interview
- leetcode
An up-to-date (unofficial) knowledge base for Go programming self learning
- go
- golang
- book
- syntax
Implement a reasoning LLM in PyTorch from scratch, step by step
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
- deep-learning
- neural-network
- coursera
- andrew-ng
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
This repository is a compilation of free resources for learning Data Science.
- data-science
- machine-learning
- machine-learning-algorithms
- deeplearning
This is a code repository for the corresponding video tutorial. Using React, Node.js, Express & MongoDB you'll learn how to build a Full Stack MERN Application - from start to finish. The App is called "Memories" and it is a simple social media app that allows users to post interesting events that happened in their lives.
📖 Unofficial WireGuard Documentation: Setup, Usage, Configuration, and full example setups for VPNs supporting both servers & roaming clients.
Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
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.
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
- reinforcement-learning
- machine-learning
- artificial-intelligence
- deep-reinforcement-learning
Curated list of Python resources for data science.
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
- machine-learning
- deep-learning
- pipeline
- scalable-applications
The repository host gives no description.
AI system design guide for engineers building production AI systems and evals.
- agentic-ai
- agentic-workflow
- artificial-intelligence
- aws
A curated list of awesome network analysis resources.
- network-analysis
- network-visualization
- complex-networks
- political-networks
Quant/Algorithm trading resources with an emphasis on Machine Learning
Official Sketch Plugin directory
- sketch
- sketch-plugin
Quantitative analysis, strategies and backtests
- quantitative-finance
- quantitative-trading
- portfolio-management
- risk-management
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
- ai
- fairness-ai
- fairness
- fairness-testing
A curated list of community detection research papers with implementations.
- graph-clustering
- network-clustering
- clustering
- dimensionality-reduction
🔊 Awesome list for Whisper — an open-source AI-powered speech recognition system developed by OpenAI