Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
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Tutorials, assignments, and competitions for MIT Deep Learning related courses.
The Generative AI Landscape - A Collection of Awesome Generative AI Applications
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
👀 Train a 65M-parameter VLM from scratch in just 2h!
This GitHub repo is a powerhouse collection of APIs you can start using immediately to build everything from simple automations to full-scale applications. One of the most valuable API lists on GitHub—period. 💪
Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.
Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"
This Repository Contain All the Artificial Intelligence Projects such as Machine Learning, Deep Learning and Generative AI that I have done while understanding Advanced Techniques & Concepts.
:speech_balloon: Machine Learning Course with Python:
2027 AI/ML internship & new graduate job list updated daily
A curated list of Artificial Intelligence Top Tools
🤖 Awesome list for ChatGPT — an artificial intelligence chatbot developed by OpenAI [SUBMISSIONS ARE TEMPORARILY PAUSED BECAUSE OF TOO MANY LOW QUALITY SUBMISSIONS]
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
A curated list of project tutorials for project-based learning.
TranslatedTensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0 version introductory example code and hands-on tutorials.
This repo collects awesome AI tools. Welcome everyone to recommend more awesome AI tools together!
TranslatedAI algorithm job-hunting guide (covering preparation guides, problem-solving practice guides, internal referrals, a list of AI companies, and other materials)
A curated List of Coding Questions Asked in FAANG Interviews
Implement a reasoning LLM in PyTorch from scratch, step by step
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.
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