TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

PyTorch code and models for the DINOv2 self-supervised learning method.

LAVIS - A One-stop Library for Language-Vision Intelligence

Public facing notes page

Official inference library for Mistral models

Google Brain AutoML

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates. - Professor Yu Liu

cs231n assignments sovled by https://ghli.org

Resources of semantic segmantation based on Deep Learning model

Boltzmann Machines in TensorFlow with examples

Light-Head R-CNN

Object Detection

TernausNetV2: Fully Convolutional Network for Instance Segmentation

Arbitrary-Oriented Scene Text Detection via Rotation Proposals (TMM 2018)

code for R-C3D

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

Code for 'Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting' in ECCV2018

Kaggle Data Science Bowl 2018

Convolutional Neural Networks for Visual Recognition in Stanford

Official implementation of "Active Image Indexing"

Cooperative Cut is a Markov Random Field inference method with high-order edge potentials.