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The Sleuth Kit® (TSK) is a library and collection of command line digital forensics tools that allow you to investigate volume and file system data. The library can be incorporated into larger digi…
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
PyTorch code and models for the DINOv2 self-supervised learning method.
A collection of TLA⁺ specifications of varying complexities.
😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
🎓 Path to a free self-taught education in Computer Science!
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Segment Anything in High Quality [NeurIPS 2023]
Official PyTorch implementation of StyleGAN3
StyleGAN2-ADA - Official PyTorch implementation
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Dafny is a verification-aware programming language
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Self-study and implementation of RL algorithms
The write-once-run-anywhere GPGPU library for Rust
CUDA integration for Python, plus shiny features
A free and open source code snippets manager for developers