psychologyphd Goto Github PK

algonotes

公众号【浅梦的学习笔记】文章汇总:包含 排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合 计算广告，大数据，图算法，NLP&CV，求职面试 等内容

algorithm

The challenges for algorithm contests, and summary the implementation.

alpaca-lora

Instruct-tuning LLaMA on consumer hardware

alpaca_lora_4bit

alphafold2

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

auto-evaluator

Evaluation tool for LLM QA chains

avatarify

Avatars for Zoom, Skype and other video-conferencing apps.

awesome-conditional-content-generation

Update-to-data resources for conditional content generation, including human motion generation, image or video generation and editing.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

codesignal-solutions

Solutions to code signal problems.

codesignal-workingsolutions

This repository includes my solutions for the arcade challenges in CodeSignal. All of them are fully functional. However, any recommendations for optimisation are welcome!

dalle2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

data-competitions

Personal data competition experience and solutions

databricks-ml-examples

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.

deequ

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

fengshenbang-lm

Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。

finetune_llama

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gnnpapers

Must-read papers on graph neural networks (GNN)

gptq-for-llama

4 bits quantization of LLaMa using GPTQ

great_expectations

Always know what to expect from your data.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

horovodrunnerbenchmark

horovodrunnerbenchmark_ipython

same as horovodRunnerBenchMark but ipyton version for better readability

hwgcn

Higher-order Weighted Graph Convolutional Networks: https://arxiv.org/abs/1911.04129

iamax

Supplemental materials for the paper Using Constraint Programming and Graph "Representation Learning for Generating Interpretable Cloud Security Policies"