Kimi K2 is the large language model series developed by Moonshot AI team

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

real time face swap and one-click video deepfake with only a single image

Foundation Models for Genomics & Transcriptomics

Simplifying reinforcement learning for complex game environments

Published in GigaScience. Web app for post-GWAS/QTL analysis that performs a slew of novel bioinformatics analyses to cross-reference GWAS/QTL mapping results with a host of publicly available rice…

Introduction to Machine Learning Systems

Introduction to PyTorch, covering tensor initialization, operations, indexing, and reshaping.

A shiny interface for the pliman package

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

This is part of the Taiwan-funded project, a collaboration between IRRI and Taiwan Ministry of Agriculture, on early detection of bacterial leaf blight (BLB) disease in rice using images captured f…

Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"

Deep Learning course @ CentraleSupélec MST2

What would you say if I told you there is a app on the market that tell you if you have a hotdog or not a hotdog.

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

TensorFlow 1.x Deep Learning Cookbook, published by Packt

R data package for annotating/converting Gene IDs

Lecture notes on Bayesian deep learning

Machine learning algorithms

NGMLR is a long-read mapper designed to align PacBio or Oxford Nanopore (standard and ultra-long) to a reference genome with a focus on reads that span structural variations

My Reading Lists of Deep Learning and Natural Language Processing

A generative latent variable model for biological sequence families.

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning al…

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

The "Python Machine Learning (2nd edition)" book code repository and info resource

Kipoi's model zoo API