mark's starred repositories
sec-parser
Parse SEC EDGAR HTML documents into a tree of elements that correspond to the visual (semantic) structure of the document.
LLMAgentPapers
Must-read Papers on LLM Agents.
Interactive-LLM-Powered-NPCs
Interactive LLM Powered NPCs, is an open-source project that completely transforms your interaction with non-player characters (NPCs) in any game! 🎮🤖🚀
ML-Papers-of-the-Week
🔥Highlighting the top ML papers every week.
PRML-Solution-Manual
My Own Solution Manual of PRML
pytorch-optimizer
torch-optimizer -- collection of optimizers for Pytorch
open-source-cs
Video discussing this curriculum:
open-trading-api
Korea Investment & Securities Open API Github https://apiportal.koreainvestment.com
google-research
Google Research
robustness
A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
ImageNet-Datasets-Downloader
ImageNet dataset downloader. Creates a custom dataset by specifying the required number of classes and images in a class.
performer-pytorch
An implementation of Performer, a linear attention-based transformer, in Pytorch
linear-attention-transformer
Transformer based on a variant of attention that is linear complexity in respect to sequence length
fast-transformers
Pytorch library for fast transformer implementations
pytorch_memonger
Experimental ground for optimizing memory of pytorch models