An OCaml kernel for Jupyter (IPython) notebook
- ocaml
- functional-programming
- jupyter-kernels
- machine-learning
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An OCaml kernel for Jupyter (IPython) notebook
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.
A tensorflow implementation of an HMM layer
TranslatedLLM teaching material for high school students: based on Karpathy's microgpt, for Google Colab
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
Open source remote sensing dataset with benchmarks
Urban Informatics and Visualization (UC Berkeley CP255)
Materials for GWU DNSC 6279 and DNSC 6290.
Python for chemoinformatics
This trading-gym is the first trading for agent to train with episode of short term trading itself.
scikit-learn wrappers for Python fastText.
This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
An enhanced interactive Shell for Common Lisp (based on the Jupyter protocol)
This repository is a collection of TTS Models in TFLite
Wrapper for RDKit's RunReactants to improve stereochemistry handling
scPerturb: A resource and a python/R tool for single-cell perturbation data
ChatGPT Python Applications integrated with third party libraries and modules
openvino version of openai/whisper
Breaking captchas using torch
Repository for Nicheformer: a foundation model for single-cell and spatial omics
The repository host gives no description.
Analysis of High Frequency Trading on Bitcoin exchanges