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An opinionated list of awesome Python frameworks, libraries, software and resources.
A curated list of awesome Machine Learning frameworks, libraries and software.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Minimal examples of data structures and algorithms in Python
🐧 A list of awesome Linux softwares
An educational resource to help anyone learn deep reinforcement learning.
A curated list of awesome mathematics resources
The LBRY SDK for building decentralized, censorship resistant, monetized, digital content apps.
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Simple examples to introduce PyTorch
🌎 Simple and ready-to-use tutorials for TensorFlow
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Makes you a Rockstar C++ Programmer in 2 minutes
3D ResNets for Action Recognition (CVPR 2018)
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas …
Hummingbird compiles trained ML models into tensor computation for faster inference.
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
A collection of links and notes on forced alignment tools
Open-Source Information Retrieval Courses @ TU Wien
A repository of common methods, datasets, and tasks for video research
A repository of concepts related to neural networks for NLP
Tutorials walking new programmers through the process of building their first website in Python and Django
🗣️ Tool to generate adversarial text examples and test machine learning models against them
Algorithms and data structures for preparing programming competitions: basic and advanced
Technical details that a programmer of a web application should consider before making the site public.