BOSOEK's Stars
lucidrains/long-short-transformer
Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch
EleutherAI/gpt-neo
An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
uvavision/Text2Scene
[CVPR 2019] Text2Scene: Generating Compositional Scenes from Textual Descriptions
sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
huggingface/datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
EleutherAI/gpt-neox
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
Seonghoon-Yu/AI_Paper_Review
까먹으면 다시 보려고 정리합니다.
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
HYU-AILAB/ai-seminar
AI & Deep Leanring Seminar @ Artificial Intelligence Lab, Hanyang University
IBM/telco-customer-churn-on-icp4d
Data Analysis, Model Building and Deploying with WML on IBM Cloud Pak for Data
minnsane/TeachYourselfCS-KR
컴퓨터 과학 스스로 학습하기 https://teachyourselfcs.com
datastacktv/data-engineer-roadmap
Roadmap to becoming a data engineer in 2021
lovedlim/machine-learning
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
facebookresearch/AugLy
A data augmentations library for audio, image, text, and video.
Team-Neighborhood/I-want-to-study-Data-Science
데이터 사이언스를 공부하고 싶은 분들을 위한 글
boost-devs/ai-tech-interview
👩💻👨💻 AI 엔지니어 기술 면접 스터디 (⭐️ 1k+)
tensorflow/cloud
The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in a local environment to distributed training in the cloud.
patrick-llgc/Learning-Deep-Learning
Paper reading notes on Deep Learning and Machine Learning
jojoldu/junior-recruit-scheduler
주니어 개발자 채용 정보
public-apis/public-apis
A collective list of free APIs
trekhleb/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
AMAI-GmbH/AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
738/awesome-devbook
📕 국내 개발 도서 리스트
Febase/FeBase
FeBase 와 함께하는 Frontend 하나씩 배워가면 늘어나는 CS지식 오퀘이!
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
scikit-learn-contrib/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
teddylee777/machine-learning
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
ZuzooVn/machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.