Repository Index

Quantitative analysis, strategies and backtests

• quantitative-finance
• quantitative-trading
• portfolio-management
• risk-management

A library for debugging/inspecting machine learning classifiers and explaining their predictions

• scikit-learn
• machine-learning
• xgboost
• lightgbm

Implementing a Neural Network from Scratch

Python implementation of CMA-ES

TensorFlow Implementation of "Show, Attend and Tell"

• tensorflow
• image-captioning
• show-attend-and-tell
• attention-mechanism

Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

TensorFlow implementation of an arbitrary order Factorization Machine

• factorization-machines
• tensorflow
• research-project

Environment for reinforcement-learning algorithmic trading models

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

• feature-selection
• data-science
• python

Implementation of various topic models

Deep Reinforcement Learning for de-novo Drug Design

• deeplearning
• reinforcement-learning
• cheminformatics
• molecular-modeling

Tensorflow implementation of "Learning Deep Features for Discriminative Localization"

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

• tensorflow
• tensorflow-hmm
• viterbi
• hmm

Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.

• disentanglement
• drug-discovery
• genomics
• perturbation

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

AuShadha (औषध): Means medicine in Sanskrit. This is a Electronic Medical Records (EMR) and Public Health Management for small clinics written in Django and Dojo

Classification and Gradient-based Localization of Chest Radiographs using PyTorch.

• fine-tuning
• vgg16
• resnet18
• densenet121

High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations

💸 Papers and Code Implements for Quantitative-Trading

Using a Kalman Filter to interpolate bus position based on periodic measurements

Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.

• tensorflow
• tensorflow2
• watermarking
• neural-network