Сводка 05.06.2022 — 12.06.2022
А теперь о том, что происходило в последнее время на других ресурсах.
Обсуждения
StackOverflow на русском
Популярное на GitHub
elebumm/RedditVideoMakerBot — Create Reddit Videos with just✨ one command ✨ |
openai/DALL-E — PyTorch package for the discrete VAE used for DALL·E. |
jina-ai/dalle-flow — A Human-in-the-Loop workflow for creating HD images from text |
arc298/instagram-scraper — Scrapes an instagram user's photos and videos |
microsoft/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. An increasing number of SOTA Quant research works/papers are released in Qlib. |
github/copilot-docs — Documentation for GitHub Copilot |
JohnHammond/msdt-follina — Codebase to generate an msdt-follina payload |
shimohq/chinese-programmer-wrong-pronunciation — 中国程序员容易发音错误的单词 |
py-why/dowhy — DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks. |
anasty17/mirror-leech-telegram-bot — Aria/qBittorrent Telegram mirror/leech bot |
mindsdb/mindsdb — In-Database Machine Learning |
dortania/OpenCore-Legacy-Patcher — Experience macOS just like before |
public-apis/public-apis — A collective list of free APIs |
huggingface/transformers — 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. |
pymc-devs/pymc — Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara |
google/jax — Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more |
huggingface/evaluate — A library for easily evaluating machine learning models and datasets. |
Manisso/fsociety — fsociety Hacking Tools Pack – A Penetration Testing Framework |
ultralytics/yolov5 — YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite |
На заметку
У нас есть представительство в Facebook. Ссылка в самом низу страницы.