GitHub Bot for Automatic Docstring Generation

Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

Show your latest blog posts from any sources or StackOverflow activity or Youtube Videos on your GitHub profile/project readme automatically using the RSS feed

A repository of links with advice related to grad school applications, research, phd etc

Research language for array processing in the Haskell/ML family

🤖 GitHub Action that performs certain tasks when issues, pull requests or discussions are labeled or unlabeled

Here are my template codes for Competitive Programming with optimised implementations of various algorithms. I personally use them every day and have tested almost all of them in multiple competiti…

🍺 The missing package manager for macOS (or Linux)

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

The Hitchhiker’s guide in getting a FAANG job (Computer Vision)

C++ Syntax, Data Structures, and Algorithms Cheat Sheet

A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

3D Vision functions with end-to-end support for deep learning developers, written in Ivy.

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

Summary, Code for Deep Neural Network Quantization

[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

Convert Machine Learning Code Between Frameworks

The project is an official implement of our CVPR2019 paper "Recurrent Back-Projection Network for Video Super-Resolution"

The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

Collect super-resolution related papers, data, repositories

Tensorflow implementation of our Paper published in PBVS Workshop 2020 in Conjunction with CVPR 2020.

Thermal Image Enhancement using Generative Adversarial Network for Pedestrian Detection

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Summaries of machine learning papers

High-quality Neural Networks for Computer Vision 😎