Stars
https://huyenchip.com/ml-interviews-book/
A.I. playing Omok (a.k.a. Gomoku, Renju)
Starter code and data files for AA228/CS238 at Stanford University, Autumn 2021
Machine Learning and Computer Vision Engineer - Technical Interview Questions
ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)
An opinionated, actionable guide for software engineering interviews.
Use CLIP to represent video for Retrieval Task
This repository contains the code for a video captioning system inspired by Sequence to Sequence -- Video to Text. This system takes as input a video and generates a caption in English describing t…
pytorch implementation of video captioning
Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.
这是一个基于Pytorch平台、Transformer框架实现的视频描述生成 (Video Captioning) 深度学习模型。 视频描述生成任务指的是：输入一个视频，输出一句描述整个视频内容的文字（前提是视频较短且可以用一句话来描述）。本repo主要目的是帮助视力障碍者欣赏网络视频、感知周围环境，促进“无障碍视频”的发展。
Python implementation of extraction of several visual features representations from videos
A PyTorch implementation of state of the art video captioning models from 2015-2019 on MSVD and MSRVTT datasets.
A collection of full time roles in SWE, Quant, and PM for new grads.
👋 Hey there new grad🎉! We've put together a collection of full-time job openings for SWE, Quant, PM and tech roles in 2024! 🚀
Official Code Release for "Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation" (ML4H 2022)
Learning Correspondence from the Cycle-consistency of Time (CVPR 2019)
Inflate DenseNet and ResNet as per I3D with ImageNet weight transfer
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
wav2vec2 audio classification for prosodic boundary detection and other tasks
Unsupervised text tokenizer for Neural Network-based text generation.
A library for efficient similarity search and clustering of dense vectors.
Python implementation of Bayesian Knowledge Tracing and extensions