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My favorite C programming practices.

List of papers about Proteins Design using Deep Learning

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From the Tensor to Stable Diffusion, a rough outline for a 10 week course.

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

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Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

Learn how to develop, deploy and iterate on production-grade ML applications.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

A curated list of awesome Machine Learning frameworks, libraries and software.

Roadmap to becoming an Artificial Intelligence Expert in 2022

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

AWS for Bioinformatics Researchers

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

🏅 Collection of Kaggle Solutions and Ideas 🏅

A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.

An awesome & curated list of best LLMOps tools for developers

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A curated list of references for MLOps

A curated list of awesome Bioinformatics libraries and software.