Shenghsin

coder2gwy

互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

awesome-english-ebooks

经济学人(含音频)、纽约客、卫报、连线、大西洋月刊等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新

SWE-agent

SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.

stat_rethinking_2022

Statistical Rethinking course winter 2022

pymc-resources

PyMC educational resources

MAPIE

A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

PDPbox

python partial dependence plot toolbox

optuna-examples

Examples for https://github.com/optuna/optuna

GPBoost

Combining tree-boosting with Gaussian process and mixed effects models

XGBoostLSS

An extension of XGBoost to probabilistic modelling

DCNv4

[CVPR 2024] Deformable Convolution v4

EdgeNets

This repository contains the source code of our work on designing efficient CNNs for computer vision

cmaes

Python library for CMA Evolution Strategy.

tabular-dl-tabr

The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"

SMSR

[CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference

LITv2

[NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "Fast Vision Transformers with HiLo Attention"

NM-sparsity

DeepQuantumNeuralNetworks

dynconv

Code for Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference (CVPR2020)

summit

Optimising chemical reactions using machine learning

DeepRC

DeepRC: Immune repertoire classification with attention-based deep massive multiple instance learning

Soft-Module

Code for "Multi-task Reinforcement Learning with Soft Modularization"

ATS

Adaptive Token Sampling for Efficient Vision Transformers (ECCV 2022 Oral Presentation)

DeltaCNN

DeltaCNN End-to-End CNN Inference of Sparse Frame Differences in Videos

STUNT

Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight).

EdgeBERT

HW/SW co-design of sentence-level energy optimizations for latency-aware multi-task NLP inference

Carbon_Capture_ML

Survey of all published Carbon Capture ML papers, data, code and supplemental materials for the benefit of all humanity

yandex-shifts-weather

The best solution of the Weather Prediction track in the Yandex Shifts challenge

tabularGP

Gaussian process applied to tabular models (implemented with fastai)

AnytimeClassification

Code for "Towards Anytime Classification" paper (NeurIPS 2023)