cryptowealth-technology Goto Github PK

canabalt-ios

Open source release of Canabalt for iOS

causal.jl

Causal.jl - A modeling and simulation framework adopting causal modeling approach.

cb_and_cc

ccxt

A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges

centerpose

Single-stage Keypoint-based Category-level Object Pose Estimation from an RGB Image

centertrack

Simultaneous object detection and tracking using center points.

cesium-unreal-samples

Getting Started Sample Project for Cesium for Unreal

chaospy

Chaospy - Toolbox for performing uncertainty quantification.

chatgpt-api-server

API server for ChatGPT

cic

CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery

cips

Official repository for the paper "Image Generators with Conditionally-Independent Pixel Synthesis" (CVPR2021, Oral)

class-incremental-learning

cleanlab

The standard package for data-centric AI and machine learning with label errors, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

cnn-surrogate

Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification

colab-crypto-mining

Cryptocurrency Mining Experiments on Google CoLab Notebooks

colossalai

Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training

complete_col

Teach a learning agent in real-time using human interaction and reinforcement learning to complete different tasks.

complex-synapses

Deep learning implementation of the Benna-Fusi complex synapse model.

condensa

Programmable Neural Network Compression

constrained-neural-nets-workbook

A workbook for investigating constrained neural networks in PyTorch

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

continual-learning-benchmark

Evaluate three types of task shifting with popular continual learning algorithms.

continual-learning-papers

Continual Learning papers list, curated by ContinualAI

continuum

A clean and simple data loading library for Continual Learning

coordattention

Code for our CVPR2021 paper coordinate attention

corex_topic

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

cortexwidelowdimensionalspatiotemporaldynamics

Example data and figure generation code for MacDowell and Buschman, Current Biology, 2020.

cotengra

Hyper optimized contraction trees for large tensor networks and einsums - https://cotengra.readthedocs.io

cpg

Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019

craters