zilunpeng's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
CyC2018/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
Snailclimb/JavaGuide
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!
labuladong/fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
MisterBooo/LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
DopplerHQ/awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
huihut/interview
📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
google-ai-edge/mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
shashank88/system_design
Preparation links and resources for system design questions
soapyigu/Swift-30-Projects
30 mini Swift Apps for self-study
ahkarami/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
conanhujinming/tips_for_interview
我的一些面试心得;自学CS历程分享;找工作求职经验分享
ikostrikov/pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
andrewekhalel/MLQuestions
Machine Learning and Computer Vision Engineer - Technical Interview Questions
ShangtongZhang/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
LinkedInAttic/LayoutKit
LayoutKit is a fast view layout library for iOS, macOS, and tvOS.
AAChartModel/AAChartKit-Swift
📈📊📱💻🖥️An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. 极其精美而又强大的现代化声明式数据可视化图表框架,支持柱状图、条形图、折线图、曲线图、折线填充图、曲线填充图、气泡图、扇形图、环形图、散点图、雷达图、混合图等各种类型的多达几十种的信息图图表,完全满足工作所需.
DreamOfTheRedChamber/system-design-interviews
AlexLittlejohn/ALCameraViewController
A camera view controller with custom image picker and image cropping.
QingyongHu/RandLA-Net
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
DeepGraphLearning/graphvite
GraphVite: A General and High-performance Graph Embedding System
IcaliaLabs/LoginKit
LoginKit is a quick and easy way to add a Login/Signup UX to your iOS app.
AmazaspShumik/sklearn-bayes
Python package for Bayesian Machine Learning with scikit-learn API
Z-yq/TensorflowASR
一个执着于让CPU\端侧-Model逼近GPU-Model性能的项目,CPU上的实时率(RTF)小于0.1
tonyzhaozh/few-shot-learning
Few-shot Learning of GPT-3
huangyangyi/ELICIT
[ICCV 2023] One-shot Implicit Animatable Avatars with Model-based Priors
georgian-io/Knowledge-Distillation-Toolkit
:no_entry: [DEPRECATED] A knowledge distillation toolkit based on PyTorch and PyTorch Lightning.
georgian-io/Transformers-Domain-Adaptation
:no_entry: [DEPRECATED] Adapt Transformer-based language models to new text domains
georgian-io-archive/hydra
A cloud-agnostic ML Platform that will enable Data Scientists to run multiple experiments, perform hyper parameter optimization, evaluate results and serve models (batch/realtime) while still maintaining a uniform development UX across cloud environments
georgian-io-archive/Diffbot-Graph-Learning
Heterogenous Graph Representation learning on Diffbot's Knowledge Graph. Includes asynchronous BFS traversal on Diffbot's Knowledge Graph, Diffbot's enhance API to build custom graph dataset and models to run on these graphs.