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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
Minimalist ML framework for Rust
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)
A small speech recognizer
A large collection of system log datasets for AI-driven log analytics [ISSRE'23]
Android Application Identifier for Packers, Protectors, Obfuscators and Oddities - PEiD for Android
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
Rumale is a machine learning library in Ruby
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.
CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.
A Tool for Automatic Analysis of Malware Behavior
TranslatedSo powerful in function, yet so simple in code
A distributed Spark/Scala implementation of the isolation forest and extended isolation forest algorithms for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.
Create adversarial attacks against machine learning Windows malware detectors
Trading Environment(OpenAI Gym) + PPO(TensorForce)
A curated list of resources for machine learning for small-molecule drug discovery