Lenar Gabdrakhmanov's starred repositories
LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
interviews.ai
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.
x-transformers
A simple but complete full-attention transformer with a set of promising experimental features from various papers
determined
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
k-diffusion
Karras et al. (2022) diffusion models for PyTorch
chronos-forecasting
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Academic-project-page-template
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
linearmodels
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
neptune-client
📘 The experiment tracker for foundation model training
sklearn-evaluation
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
pysurvival
Open source package for Survival Analysis modeling
Awesome-Hyperbolic-Representation-and-Deep-Learning
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
tryondiffusion
PyTorch implementation of "TryOnDiffusion: A Tale of Two UNets", a virtual try-on diffusion-based network by Google
Awesome-Coreset-Selection
Awesome coreset/core-set/subset/sample selection works.
rubicon-ml
Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!
fasttrackml
Experiment tracking server focused on speed and scalability