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chip-seq-analysis

ChIP-seq analysis notes from Ming Tang

chip-seq-pipeline

clairvoyant

Software designed to identify and monitor social/historical cues for short term stock movement

clam

ROS software for controlling 7-DOF low-cost robotic manipulator

claragenomicsanalysis

SDK for GPU accelerated genome assembly and analysis

clicr

Machine reading comprehension on clinical case reports

climate_learn

Deep learning for climate modeling.

climatelearn

El nino forecast based on a few machine learning methods

clothes-classification

clustering_on_transcript_compatibility_counts

Clustering cells from single cell RNA seq assays

cnn_evaluation_smoke

Evaluation of CNN for Smoke Detection

cnn_sentence

CNNs for sentence classification

cobrush

Collaborative Black-box and Rule Set Hybrid

composenet

Implementation of modular composition network from https://arxiv.org/pdf/1711.11289.pdf

conditional-neural-process

consent

ligand-based virtual screening with consensus queries

consumable-irl

We provide the functionality to learn a set of consumable rewards from a set of demonstrations

control

A repository for control benchmarking code

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

convnet

A GPU implementation of Convolutional Neural Nets in C++

convolutional-lstm-in-tensorflow

An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow

convolutionalrbm.m

A MATLAB / MEX / CUDA-MEX implementation of Convolutional Restricted Boltzmann Machines.

cookiecutter-docker-science

Cookiecutter template for data scientists working in Docker containers

coordconv-pytorch

Pytorch implementation of CoordConv introduced in 'An intriguing failing of convolutional neural networks and the CoordConv solution' paper. (https://arxiv.org/pdf/1807.03247.pdf)

coordination

Multi-agent deep reinforcement learning with OpenAI Gym

corr_prediction_arima_lstm_hybrid

We applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

correlation-analysis-and-friends

RL final project

count

An experiment with crowd counting. Trains a keras model in python for use with Rails and iOS CoreML.

counterfactual-regret-minimization

Counterfactual regret minimization algorithm for Kuhn poker

cryptocurrencytrader

A machine learning program in python to generate cryptocurrency trading strategies using deep reinforcement learning on price. Keras and Tensorflow.