Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
- btc
- lstm
- rnn
- bitcoin
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Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
Stress tests for the Raspberry Pi :sweat_smile:
Automating captcha solving for Playwright. Supports Cloudflare Turnstile & Interstitial, and reCAPTCHA V2 & V3 with Click-based or API (2captcha) solving. Designed for easy integration with Playwright, Patchright, and Camoufox.
Search and filter videos based on objects that appear in them using convolutional neural networks
FOREST is a research agent for long-horizon science, where evidence gets lost, errors compound, and goals drift. It explores ideas, reads literature, forms hypotheses, runs real experiments, analyzes results, revises paths, and builds a full paper—all in an editable graph you can inspect, branch, redirect, with claims and figures linked to evidence
Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.
NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
An agent that compiles git maintenance chores into reusable programs, then decides whether to replay them by running checks rather than by guessing the task looks familiar
Official code for "Zero-Mem: Zero-Token Memory Operations for LLM Agents".
Produce a sharp image of a planetary system object (moon, sun, planets) from many seeing-affected frames according to the "lucky imaging" technique.
The Cold Disk Quick Response (CDQR) tool is a fast and easy to use forensic artifact parsing tool that works on disk images, mounted drives and extracted artifacts from Windows, Linux, MacOS, and Android devices
OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains.
Simplify format string exploitation.
Wraps any WSGI application and makes it easy to send test requests to that application, without starting up an HTTP server.
Sensor fusion calculating yaw, pitch and roll from the outputs of motion tracking devices
A guide and tool for cracking ssh known_hosts files with hashcat
A Claude skill for directing, building and verifying code-rendered videos (HTML/Canvas → MP4): principles, gated workflow, QA scripts and evals.
Linux Security and Monitoring Scripts
Raspberry Pi MQTT Monitor gathers system information and sends it to a MQTT server.
Code for all experiments.
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
Stubs of most MicroPython ports, boards and versions to make writing code that much simpler.
A simple library for parsing messages of Health Level 7 (HL7) version 2.x into Python objects.