This repository is a compilation of free resources for learning Data Science.
- data-science
- machine-learning
- machine-learning-algorithms
- deeplearning
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This repository is a compilation of free resources for learning Data Science.
Translated🌟100+ original LLM / RL algorithm diagrams📚, a great gift from the author of 《大模型算法》 (Large Model Algorithms)! 💥 (100+ LLM/RL Algorithm Maps)
Learn to write Rust procedural macros [Rust Latam conference, Montevideo Uruguay, March 2019]
Jupyter notebooks for the Natural Language Processing with Transformers book
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
Translated"Large Language Models" (《大语言模型》), authors: Zhao Xin, Li Junyi, Zhou Kun, Tang Tianyi, Wen Jirong
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Become skilled in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Data Science, Natural Language Processing, Reinforcement Learning and more with this complete 0 to 100 repository.
AI system design guide for engineers building production AI systems and evals.
Code examples in pyTorch and Tensorflow for CS230
A list of papers and datasets about point cloud analysis (processing)
Build a modern LLM from scratch. Every line commented. Explained like we are five.
A curated list of action recognition and related area resources
repository to research & share the machine learning articles
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
「画像処理100本ノック」中文版本!为图像处理初学者设计的 100 个问题。
Open Machine Learning course
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
A collection of tools developed by other researchers in the Computer Science area to process network traces. All the right reserved for the original authors.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
The process of extracting product data from Amazon using Python, including titles, ratings, prices, images, and descriptions.
NMA Computational Neuroscience course