Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Code and documentation to train Stanford's Alpaca models, and generate the data.

TensorFlow Estimator

A Deep Learning Recommender System

Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.

Recurrence the recommender paper with Tensorflow2.0

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

My personal note about local and global descriptor

End-to-end learning of deep visual representations for image retrieval

Pytorch0.4.1 codes for InsightFace

PyTorch Implementations for DeeplabV3 and PSPNet

RF-Net: An End-to-End Image Matching Network based on Receptive Field

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Face Analysis Project on MXNet

Efficient neural feature detector and descriptor

🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version