Deep Reinforcement Learning for de-novo Drug Design
- deeplearning
- reinforcement-learning
- cheminformatics
- molecular-modeling
Repository Index
73,362 visible repositories in the index
265–288 of 297 · Most stars
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
This trading-gym is the first trading for agent to train with episode of short term trading itself.
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
- tensorflow
- python3
- keras
- resnet-101
This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
- tensorflow-2
- tensorflow-lite
- on-device-ml
- model-quantization
An interactive Quiz generator for Jupyter notebooks and Jupyter Book
- quiz
- jupyter-notebook
- jupyter-notebooks
- interactive
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
- disentanglement
- drug-discovery
- genomics
- perturbation
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
- protein
- protein-sequences
- protein-design
- representation-learning
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
TranslatedA tiny Transformer built from scratch in PyTorch, with an English-to-Chinese translation demo | A small Transformer implemented from scratch with PyTorch, with an English-to-Chinese translation demo, to help understand how the model works
- attention-mechanism
- deep-learning
- educational
- from-scratch
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.
A database of paths that represent the mechanism of action from a drug to a disease in an indication.
- ncats-translator
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
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
SplineDist: Automated Cell Segmentation with Spline Curves
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
- epigenomics
- pattern-search
- data-visualization
- interactive-machine-learning
Research experiments exploring uncommon quant techniques.
- analysis
- jupyter-notebook
- python
- quant
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
Agentic LLM CTF to test prompt injection attacks and preventions