cryptowealth-technology Goto Github PK

coda-nets

Official implementation for the CVPR paper "Convolutional Dynamic Alignment Networks for Interpretable Classifications"

code-review-gpt

Your personal code reviewer powered by LLMs (OpenAI GPT-3.5/4, Llama2, Azure AI) & Embeddings ⚡️ Improve code quality and catch bugs before you break production 🚀

colab-crypto-mining

Cryptocurrency Mining Experiments on Google CoLab Notebooks

colossalai

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

compleme

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.

composer

Train neural networks up to 7x faster

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

creative-adversarial-networks

(WIP) Implementation of Creative Adversarial Networks https://arxiv.org/pdf/1706.07068.pdf

criticalcoevolution

Co-evolution implementation of critical_evolution. Latest version of my thesis can be found in repository critical_evolution.

criticality-as-it-could-be

Code reproducing the experiments of this paper https://arxiv.org/abs/1704.05255

crnn.pytorch

Convolutional recurrent network in pytorch

crosspoint

Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)

csf-analysis

Contrast Sensitivity function analysis

ctre

A Brain-inspired Algorithm for Training Highly Sparse Neural Networks

curl

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

curvenet

Official implementation of "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", ICCV 2021

curvetime

A blockchain that organically orchestrates Proof of Work (PoW) and AI Training computations together