A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env
- tensorlayer
- dagger
- gym-torcs
- imitation-learning
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A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env
Docker image gathering packers and tools for making datasets of packed executables and training machine learning models for packing detection
A collection of machine-learned models for use in autonomous driving applications.
:chart_with_upwards_trend: A live cryptocurrency historical trade data blotter. Download live historical trade data from any cryptoexchange, be it for machine learning, backtesting/visualizing trading strategies or for Quantopian/Zipline.
Detect the sentiment captured in short pieces of text
a feature engineering wrapper for sklearn
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.
An Easy To Use PyTorch Computer Vision Library
🛡️ 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.
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
MCP server for spatial transcriptomics analysis through natural language interfaces.
Proof Of Concept of DEcentralised Machine Learning on top of the Golem (https://golem.network/) architecture
Auralisation of learned features in CNN (for audio)
Stream Processing Made Easy
Cryptographic Dataset Generation & Modelling Framework
scikit-learn addon to operate on set/"group"-based features
reinfore learning tool box, contains trpo, a3c algorithm for continous action space
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
scikit-learn for OCaml
Spatial Transformer Nets in TensorFlow/ TensorLayer
A little logger for machine learning research
Python3 script that transfers files in Google Colab 10-50x faster, using multi-threaded parallel copying between Google Drive locations.
HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.
3D shape analysis using deep learning