:bathtub: Clean Code concepts adapted for Python
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Full-stack testing PHP framework
- codeception
- php
- phpunit
- bdd
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.
- machine-learning
- economics
- causal-inference
- causality
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
- autonomous-driving
- end-to-end-autonomous-driving
- motion-prediction
- multi-object-tracking
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
- data-science
- machine-learning
- deep-learning
- data-portfolio
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
- pytorch
- image-classification
- deep-learning
- cifar100
Acceptance rates for the major AI conferences
This project hosts security advisories and their accompanying proof-of-concepts related to research conducted at Google which impact non-Google owned code.
💥 Collision is a beautiful error reporting tool for command-line applications
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
- deep-learning
- autonomous-driving
- computer-vision
- object-detection
🔎 An HTTP inspector for Android & OkHTTP (like Charles but on device)
- okhttp
- interceptor
- okhttpclient
- android
The repository contains the list of awesome✨ & cool web development beginner-friendly✌️ projects!
- webdevelopment
- webdev
- webdeveloper
- webdevprojects
A library that gives depth to Views.
[ICCV 2019] Monocular depth estimation from a single image
- depth-estimation
- neural-network
- deep-learning
- self-supervision
A description of the conceptual model of React without implementation burden.
Plain python implementations of basic machine learning algorithms
- machine-learning
- logistic-regression
- ipynb
- machine-learning-algorithms
Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.
In-depth understanding of Node.js: Core Ideas and Source Code Analysis
- nodejs
- v8
- libuv
LPIPS metric. pip install lpips
- deep-learning
- deep-neural-networks
- perceptual
- perceptual-metric
Verbatim mirror of the git.drupal.org repository for Drupal core. Please see the https://github.com/drupal/drupal#contributing. PRs are not accepted on GitHub.
Supercharged End 2 End Testing Framework for NodeJS
- codeceptjs
- webdriverio
- selenium-webdriver
- acceptance-testing
Tamper Dev is an extension that allows you to intercept and edit HTTP/HTTPS requests and responses as they happen without the need of a proxy. Works across all operating systems (including Chrome OS).
State-of-the-art native debugging tools
- hypervisor
- hyperdbg
- debugger
- ept