truongnhannguyen Goto Github PK

.gitconfig

My personal `.gitconfig`

aitemplate

AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

alphatensor

ama_prompting

Ask Me Anything language model prompting

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome

😎 Awesome lists about all kinds of interesting topics

awesome-bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

awesome-zsh-plugins

A collection of ZSH frameworks, plugins, themes and tutorials.

bokeh-notebooks

Interactive Web Plotting with Bokeh in IPython notebook

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

c

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

covid19-dashboard

A site that displays up to date COVID-19 stats, powered by fastpages.

cppcoreguidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

data-engineer-roadmap

Roadmap to becoming a data engineer in 2021

data-science-interviews

Data science interview questions and answers

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearningexamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

developer-roadmap

Roadmap to becoming a developer in 2022

dotfiles-public

My personal dotfiles

editeval

An instruction-based benchmark for text improvements.

examples

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

free-programming-books

:books: Freely available programming books