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Official pytorch repository for "Knowing Where to Focus: Event-aware Transformer for Video Grounding" (ICCV 2023)
Visualization library for well-known-text strings and shapely geometries.
Reduce multiple PyTorch TensorBoard runs to new event (or CSV) files.
Official QEMU mirror. Please see https://www.qemu.org/contribute/ for how to submit changes to QEMU. Pull Requests are disabled. Please only use release tarballs from the QEMU website.
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
Ghidra is a software reverse engineering (SRE) framework
Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
ESPHome is a system to control your ESP8266/ESP32 by simple yet powerful configuration files and control them remotely through Home Automation systems.
An advanced memory forensics framework
RSA attack tool (mainly for ctf) - retrieve private key from weak public key and/or uncipher data
The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Some setup scripts for security research tools.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
A toolkit for developing and comparing reinforcement learning algorithms.
Massively parallel rigidbody physics simulation on accelerator hardware.
Open source code for AlphaFold 2.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
The OpenAPI Specification Repository
An accelerator to help organizations build Trusted Research Environments on Azure.
24 Lessons, 12 Weeks, Get Started as a Web Developer
12 Weeks, 24 Lessons, IoT for All!
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.