Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
Repository Index
47,133 repositories indexed
73–96 of 99 · Most stars
Materials for GWU DNSC 6279 and DNSC 6290.
This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube
This repository is a collection of TTS Models in TFLite
🏃 The go-to single-cell Foundation Model
- batch-correction
- cell-biology
- celltype-annotation
- denoising
Tools for pen plotting in Python
TensorFlow Lite models for MIRNet for low-light image enhancement.
- tinyml
- tflite
- tensorflow2
- computer-vision
A TensorFlow implementation of the Mnemonic Descent Method.
- tensorflow
- menpo
- face
- face-alignment
How to create a Cartoonizer Android app with TensorFlow Lite models.
- tensorflow-lite
- tflite
- computer-vision
- gans
This repository is to create tflite models for the available ocr models
Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
tutorials made for biologists to learn deep learning
- biologists
- keras
- deeplearning
- deep-learning
daru-view is for easy and interactive plotting in web application & IRuby notebook. daru-view is a plugin gem to the existing daru gem.
- daru
- daru-view
- data-visualization
- plot-library
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
- data-science
- deep-learning
- finance
- financial-data
Research experiments exploring uncommon quant techniques.
- analysis
- jupyter-notebook
- python
- quant
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
- foundation-models
- gpt
- single-cell
High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
Tools for drawing 2d and 3d interactive visualizations using Jupyter proxy widgets
Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
- ios
- coreml
- coreml-framework
- swift
American Sign Language Detection is a deep learning end to end project where we can detect American Sign Language.
- asl
- keras
- tensroflow
- tflite
Signal generators ( AD9833, AD9834, AD9850, ADF4351) tools box.
- ad9833
- ad9834
- ad9850
- adf4351
Slides and materials for various talks I've given