ctromg

the-art-of-command-line

Master the command line, in one page

dotfiles

:wrench: .files, including ~/.macos — sensible hacker defaults for macOS

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

llm.c

LLM training in simple, raw C/CUDA

vim-galore-zh_cn

Vim 从入门到精通

approachingalmost

Approaching (Almost) Any Machine Learning Problem

server

Revive unavailable songs for Netease Cloud Music (Refactored & Enhanced version)

LeetCode-Py

⛽️「算法通关手册」：超详细的「算法与数据结构」基础讲解教程，从零基础开始学习算法知识，850+ 道「LeetCode 题目」详细解析，200 道「大厂面试热门题目」。

loss-landscape

Code for visualizing the loss landscape of neural nets

agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

machine_learning_refined

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

QuantitativePrimer

An Interview Primer for Quantitative Finance

PiML-Toolbox

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

Multi-Task-Learning-PyTorch

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

dotfiles

~anish • powered by https://github.com/anishathalye/dotbot 💾

sam

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

DL-Notes-for-Interview

deep learning/ machine learning

nt_tool

An award searching project aims to using public data by airlines more efficiently.

GradAttack

GradAttack is a Python library for easy evaluation of privacy risks in public gradients in Federated Learning, as well as corresponding mitigation strategies.

Deep-Mutual-Learning

An unofficial implementation of 《Deep Mutual Learning》 by Pytorch to do classification on cifar100.

king

[ECCV'22] KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients

corda

[ICCV 2021] Code for our paper Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation

Python-Data-Science-Handbook

Python Data Science Handbook: Essential Tools for Working with Data By Jake VanderPlas

AutoSeM

Code and Models for paper "AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning. Han Guo, Ramakanth Pasunuru, and Mohit Bansal. NAACL 2019"

BanditEmpirical

Empirical tests of various bandit algorithms.

duelingbanditlib

Bosch-Engine-Datasets

MOML