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python-programming-exercises

100+ Python challenging programming exercises

pythontensorflow

pytorch-encoding

A CV Toolkit

pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch

pytorch-styleguide

An unofficial styleguide and best practices summary for PyTorch

qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

r-transformer

rainbow-is-all-you-need

Rainbow is all you need! Step-by-step tutorials from DQN to Rainbow

randwirenn

Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-an-introduction

Python implementation for Reinforcement Learning: An Introduction

resnext

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

rethinking-network-pruning

Rethinking the Value of Network Pruning (Pytorch)

riscv-wiki

sanic_app

Create micro service with sanic

seal

Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

segmentation_models

Segmentation models with pretrained backbones. Keras.

semantic-segmentation-suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

senet

Squeeze-and-Excitation Networks

server

server to save image

serving

A flexible, high-performance serving system for machine learning models

slides

sparse_attention

Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

splatnet

SPLATNet: Sparse Lattice Networks for Point Cloud Processing (CVPR2018)

ssrs

starling-framework

The Cross Platform Game Engine

statrethinking_winter2019

Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019

stat_rethinking_2022

Statistical Rethinking course winter 2022