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cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.
Mockafka-py is a Python library designed for in-memory mocking of Kafka.[aiokafka - confluence-kafka-python]
Smart reversion of Django migrations based on Git diff
A utility for mocking out the Python Requests library.
Aggify is a Python library to generate MongoDB aggregation pipelines
Postman collection for Binance Public API, including spot, margin, futures, etc.
Qt based cross-platform GUI proxy configuration manager (backend: sing-box)
A natural language interface for computers
📄 Awesome CV is LaTeX template for your outstanding job application
دورهی مقدمهای بر یادگیری ماشین، برای دانشجویان
A One-Click System for Analyzing Loop-Resolution Hi-C Experiments
Visualization and analysis software for Hi-C data -
“When everything is connected to everything else, for better or worse, everything matters.” Bruce Mau
HiC-Pro: An optimized and flexible pipeline for Hi-C data processing
Artificial Neural Network course of Computer Science Faculty of Shahid Beheshti University. Winter 2023
Machine Learning Course of Computer Science Faculty of Shahid Beheshti University. Winter 2023
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.
The easiest way to calculate the execution time of any part of the program in Python
Calculate the distance between 2 points on Earth
scikit-learn: machine learning in Python
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
A Library for Advanced Deep Time Series Models.
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"