Repository Index

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

• pytorch
• deep-learning
• generative-adversarial-network
• trajectory-prediction

Train and Deploy an ML REST API to predict crypto prices, in 10 steps

• deployment
• ml
• mlops
• crypto

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

• computational-chemistry
• computational-biology
• deep-learning
• deep-neural-networks

Sharing Updatable Models (SUM) on Blockchain

• blockchain
• ml
• ai
• economics

Oracle3: open-source trading engine and MCP server for prediction markets. Finds fee-adjusted no-arbitrage violations across related event contracts and trades them live on Kalshi, Polymarket and Solana, or on paper, under pre-trade risk limits. 13 MCP tools, JSON CLI, agent skills, 600+ tests.

• algorithmic-trading
• kalshi
• polymarket
• python

Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.

• autonomous-vehicles
• autonomous-driving
• carla
• perception

Sequential regulatory activity predictions with deep convolutional neural networks.

Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models

• trajectory-optimization
• differential-dynamic-programming
• theano
• dynamics-models

GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations

Crop Yield Prediction with Deep Learning

The repository host gives no description.

• auditing-predictive-models
• fairness
• discrimination
• toolbox

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

• btc
• lstm
• rnn
• bitcoin

The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)

• ai-for-science
• diffusion-models
• drug-design
• equivariant-networks

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

• python
• sklearn
• data-science
• framework

GraphDTA: Predicting drug-target binding affinity with graph neural networks

Source code for "DeepDTA: deep drug-target binding affinity prediction"

• protein-ligand-interactions
• convolutional-neural-networks

RNA-seq prediction with deep convolutional neural networks.

Stacked Generalization (Ensemble Learning)

• stacking
• ensemble-learning
• scikit-learn
• xgboost

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

• micropython
• neural-network
• multilayer-perceptron
• mlp

Shallow and Deep Convolutional Networks for Saliency Prediction

Passive market-making bot for Predict.fun: quotes from live order books, replaces stale orders and cancels on unsafe price/depth; Windows desktop app and web console for Ubuntu servers.

• desktop-app
• market-making
• predict-fun
• prediction-markets

AI-based pathology predicts origins for cancers of unknown primary - Nature

• histology
• pathology
• wsi-images
• histopathology

Do stock correlations predict the market? 66 pre-registered tests, the data, and a triple pendulum that explains why not. If you have an idea you want me to try, submit it as a PR and I will test it and get back to you.

An automatic code generator for nonlinear model predictive control (NMPC) and the continuation/GMRES method (C/GMRES) based numerical solvers for NMPC

• model-predictive-control
• nonlinear-model-predictive-control
• mpc
• nmpc