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The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Minimal reproduction of DeepSeek R1-Zero
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
PyTorch to Keras model convertor
A machine learning tool that ranks strings based on their relevance for malware analysis.
Translated斑海豹 (Spotted Seal) — Phocinae-Largha-150M-v1: a 144.3M bilingual decision model. Tiny model. Big decisions.
Create adversarial attacks against machine learning Windows malware detectors
Trading Environment(OpenAI Gym) + PPO(TensorForce)
SABER enables identity-resolved quantification of multi-animal social behavior
TranslatedAn industrial anomaly detection project based on PatchCore, studying layer2/layer3 score fusion, sensitivity-guided shrinkage, and risk-controlled gating, and providing an engineering-oriented Streamlit demo.
PrismQuant: Optimal Null-Space Rotations for Grouped Quantizers
Effects of packers on machine-learning-based malware classifiers that use only static analysis
Docker image gathering packers and tools for making datasets of packed executables and training machine learning models for packing detection
🛡️ Free AI that blocks hackers while you sleep. Runs on cheap hardware. When someone in Tokyo gets attacked, you're protected in 30 seconds. No fees. No experts needed. Just protection. One node's detection → everyone's protection.
Cryptographic Dataset Generation & Modelling Framework
German small and large versions of GPT2.
A minimalistic codebase for training NLG models from HuggingFace Transformers using PyTorch Lightning.
A Single Library Parser to extract meta information,static analysis and detect macros within the files.