Stars
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
It includes two datasets that are used in the downstream tasks for evaluating UIBert: App Similar Element Retrieval data and Visual Item Selection (VIS) data. Both datasets are written TFRecords.
Everything you need about Active Learning (AL).
A list of active learning methods for deep learning.
Refine high-quality datasets and visual AI models
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
OpenMMLab Detection Toolbox and Benchmark
A curated list of resources for Learning with Noisy Labels
TensorFlow Tutorials with YouTube Videos
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
Tensorflow toolbox implementing several learnable pooling architecture
Reading list for research topics in multimodal machine learning
my simple tutorial for mxnet, a fast deep learning framework
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
https://github.com/benmahr/RenZhengfei
pytorch implements of Deep & Cross Network for Ad Click Predictions from Google
Keras Implementation for "Deep & Cross Network for Ad Click Predictions"
Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings
Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
A long-form blogging theme for Jekyll.