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Starred repositories
21 Lessons, Get Started Building with Generative AI
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Examples and guides for using the OpenAI API
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
This is a repo with links to everything you'd ever want to learn about data engineering
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
๐ค Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Learn OpenCV : C++ and Python Examples
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filteโฆ
12 Weeks, 24 Lessons, IoT for All!
๐ก Simple and ready-to-use tutorials for TensorFlow
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: ๐บ๐ธ ๐จ๐ณ ๐ฏ๐ต ๐ฎ๐น ๐ฐ๐ท ๐ท๐บ ๐ง๐ท ๐ช๐ธ
The "Python Machine Learning (1st edition)" book code repository and info resource
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
TensorFlow Tutorials with YouTube Videos
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
this repository accompanies the book "Grokking Deep Learning"
The "Python Machine Learning (2nd edition)" book code repository and info resource
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
From the basics to slightly more interesting applications of Tensorflow
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.