phymucs Goto Github PK

captum

Model interpretability and understanding for PyTorch

carbonate

Utilities for managing graphite clusters

carfusion_to_coco

This repository is to setup the Carfusion Dataset for training keypoint detector for cars

carrot2

Carrot2: Text Clustering Algorithms and Applications

cascade-rcnn

Caffe implementation of multiple popular object detection frameworks

cascadetabnet

This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"

cassandra

Mirror of Apache Cassandra

catalyst

Accelerated deep learning R&D

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

causal

Discovering directional relations via minimum predictive information regularization

cell_segmentation_and_tracking

For single cell segmentation and tracking.

centermask

CenterMask : Real-Time Anchor-Free Instance Segmentation

centernet

Object detection, 3D detection, and pose estimation using center point detection:

centersnap

Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"

cfdof

Computational Fluid Dynamics (CFD) for FreeCAD based on OpenFOAM solver

cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

cgal

The public CGAL repository, see the README below

chainer

A flexible framework of neural networks for deep learning

chainercv

ChainerCV: a Library for Deep Learning in Computer Vision

chainerrl

ChainerRL is a deep reinforcement learning library built on top of Chainer.

chainerui

ChainerUI: User Interface for Chainer

chainqueen

Differentiable MPM Simulator

chameleon

Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation

change-detection-in-satellite-imagery

It employes Principal Component Analysis (PCA) and K-means clustering techniques over difference image to detect changes in multi temporal images satellite imagery.

chaoxing-solution

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

chat.petals.ml

Chatbot web app + HTTP and Websocket endpoints for BLOOM-176B inference with the Petals client

chatbot-rnn

A toy chatbot powered by deep learning and trained on data from Reddit

chatgpt

Lightweight package for interacting with ChatGPT's API by OpenAI. Uses reverse engineered official API.